LIST OF DISTRICT EDUCATION OFFICERS (SE) IN LAHORE CANTT | 786 Times\nApril 26, 2021 May 6, 2021 - by user\nLIST OF DISTRICT EDUCATION OFFICERS (SE) IN LAHORE\nDISTRICT EDUCATION OFFICERS (SE) IN LAHORE CANTT\nHAFIZ MAHMOOD AHMAD\nMRS. KANEEZ ANWAR MALIK\nMRS. ZAKIA BASIT\nMR. BILAL AHMAD QAMAR\nCH. ZAHOOR AHMAD [ADD. CHARGE]\nSYED ASADULLAH KHALID\nRANA MUHAMMAD MUNIR AZAM\nCH. AKRAM ALI\nMIAN MAQSOOD AHMAD [ADD. CHARGE]\nHAJI FARYAD KHAN\nSAJID AHMAD SAJID\nMS. SHAHIDA SOHAIL\nMRS. SHAMIM SOHARA\nTaggedABDUL MAJEED DEO (SE) IN LAHORE FROM 12-12-2015 TO 02-05-2016ABDUL REHMAN MALIK DEO (SE) IN LAHORE FROM 13-09-2002 TO 24-01-2003AFSHAN ZAFAR DEO (SE) IN LAHORE FROM 06-05-2015 TO 11-12-2015CH. AKRAM ALI DEO (SE) IN LAHORE FROM 06-10-2003 TO 31-05-2006CH. ZAHOOR AHMAD [ADD. CHARGE] DEO (SE) IN LAHORE FROM 15-12-2000 TO 12-02-2001HAJI FARYAD KHAN DEO (SE) IN LAHORE FROM 20-10-2006 TO 21-04-2008HISTORY OF DEO (SE) IN LAHOREHISTORY OF DEO (SE) IN LAHORE CANT.HISTORY OF DISTRICT EDUCATION OFFICERS (SE) IN LAHOREHISTORY OF DISTRICT EDUCATION OFFICERS (SE) IN LAHORE CANT.LIAQAT ALI MALIK DEO (SE) IN LAHORE FROM 07-05-2011 TO 02-07-2011LIAQAT ALI MALIK DEO (SE) IN LAHORE FROM 30-08-2013 TO 05-05-2015LIST OF DEO (SE) IN LAHORELIST OF DEO (SE) IN LAHORE CANT.LIST OF DISTRICT EDUCATION OFFICERS (SE) IN LAHORELIST OF DISTRICT EDUCATION OFFICERS (SE) IN LAHORE CANTTMIAN MAQSOOD AHMAD [ADD. CHARGE] DEO (SE) IN LAHORE FROM 11-07-2006 TO 11-09-2006MR. BILAL AHMAD QAMAR DEO (SE) IN LAHORE FROM 21-10-1999 TO 02-11-2000MRS. KANEEZ ANWAR MALIK DEO (SE) IN LAHORE FROM 24-08-1993 TO 31-08-1996MRS. SHAMIM SOHARA DEO (SE) IN LAHORE FROM 16-04-2013 TO 30-08-2013MRS. ZAKIA BASIT DEO (SE) IN LAHORE FROM 01-09-1996 TO 20-10-1999MS. SHAHIDA SOHAIL DEO (SE) IN LAHORE FROM 22-11-2011 TO 16-04-2013MUHAMMAD AMIN DEO (SE) IN LAHORE FROM 12-09-2006 TO 19-10-2006QAZI KHALID FAROOQ DEO (SE) IN LAHORE FROM 22-04-2008 TO 06-05-2011RANA MUHAMMAD MUNIR AZAM DEO (SE) IN LAHORE FROM 25-01-2003 TO 18-07-2003SAJID AHMAD SAJID DEO (SE) IN LAHORE FROM 18-07-2011 TO 22-11-2011SYED ASADULLAH KHALID DEO (SE) IN LAHORE FROM 13-02-2001 TO 31-07-2002TARIQ RAFIQ DEO (SE) IN LAHORE FROM 01-06-2016 TO Incumbent\nPrevious Article LIST OF DISTRICT EDUCATION OFFICERS (SE) IN SAHIWAL\nNext Article LIST OF DISTRICT EDUCATION OFFICERS (SE) IN SIALKOT


TFRRS Florida | Palm Beach County Championships Women's Triple Jump Varsity Track & Field Meet Results\nFilter by Team Atlantic (Delray) (F) Benjamin School (F) Boca Raton (F) Boynton Beach (F) Dwyer (F) FAU High (F) Glades Central (F) John I. Leonard (F) King's Academy (F) Palm Beach Central (F) Palm Beach Lakes (F) Wellington (F)\n2. 1. 1. 1. Brown, Taishai McLeod, Shiyanna Madison, Natalia Rodriguez, Mia SO SR SO JR Wellington King's Academy Dwyer Palm Beach Lakes 2310.23m ND 0010.85m 9.61m 3130' 3.752" 32' 10.5" 35' 7.25" 0733' 5.750" - 951 100 534\n8. 14. 2. 14. Hasenhuttl-Bishop, Eva Berry, Vanessa Cook, Alicia Inskeep, Joey SO SR JR FR Atlantic (Delray) Atlantic (Delray) Wellington King's Academy 0010.85m 279.119m 7810.6122m 177.47m 34' 9.755" 628' 94" 34' 9.755" 32' 10.5" - 534 81 -\n12. 8. 3. 2. joseph, welda Inskeep, Joey Vickers, Patrianna McLeod, Shiyanna SR JR JR SO Palm Beach Central Palm Beach Lakes Glades Central Benjamin School 2310.23m 0010.85m 10.34m 9.5206m 628' 94" 24' 6.25" 633' 11.25" 32' 10.5" - 33 1065 100\n11. 12. 4. 5. Rodriguez, Mia Hasenhuttl-Bishop, Eva Marseille, Jasmine Hasenhuttl-Bishop, Eva SO JR SR SR Atlantic (Delray) Atlantic (Delray) Atlantic (Delray) FAU High 2310.23m 2310.23m 2310.23m 7810.6122m 628' 94" 5432' 1.58" 33' 6.757" 5432' 1.58" - 100 951 -\n4. 9. 5. 13. Cook, Alicia Inskeep, Joey Berry, Vanessa Vickers, Patrianna FR JR SO FR Wellington Glades Central Palm Beach Central Dwyer ND 9.61m 10.20m 649.6775m 31' 6.5" 35' 7.25" 0733' 5.750" 32' 10.5" 11 - 534 -\n8. 8. 6. 11. McLeod, Shiyanna Mendez, Hannah Hasenhuttl-Bishop, Eva Madison, Natalia SO SR SR JR King's Academy Wellington Benjamin School Palm Beach Central 649.6775m 177.47m 710.02m 9.61m 35' 7.25" 32' 10.5" 32' 10.5" 24' 6.25" 33 - 33 -\n3. 12. 7. 5. Brown, Taishai Mendez, Hannah Jonas, Aliyah Hasenhuttl-Bishop, Eva SR JR SR SO Benjamin School Benjamin School Dwyer Benjamin School 388.760m 169.7916m 169.7916m 177.47m 5432' 1.58" 5432' 1.58" 5432' 1.58" 32' 10.5" - - 2121 81\n10. 2. 8. 7. Rodriguez, Mia Rodriguez, Mia Ferguson, Zori-Ann joseph, welda FR SR JR SR King's Academy Palm Beach Lakes Palm Beach Lakes Boynton Beach 9.5206m 9.61m 649.6775m 9.61m 3130' 3.752" 35' 7.25" 131' 8.75" 33' 6.757" 33 11 11 -\n8. 7. 9. 12. Ferguson, Zori-Ann McLeod, Shiyanna Brown, Taishai Mendez, Hannah JR SR SO JR Dwyer Boynton Beach Atlantic (Delray) King's Academy 388.760m 279.119m 9.61m 0010.85m 34' 9.755" 31' 6.5" 34' 9.755" 534 - - 1065\n7. 9. 10. 10. Cook, Alicia Inskeep, Joey McLeod, Shiyanna Madison, Natalia FR SO SR SO Benjamin School Boynton Beach Benjamin School Palm Beach Lakes 2310.23m 2310.23m 9.5206m ND 35' 7.25" 3130' 3.752" 31' 3" 0733' 5.750" - 81 - 951\n6. 9. 11. 9. Mendez, Hannah Hasenhuttl-Bishop, Eva Rodriguez, Mia Joaseus, Bijou JR SR FR SO Dwyer John I. Leonard King's Academy Atlantic (Delray) 9.5206m 177.47m 49.242m 388.760m 24' 6.25" 3130' 3.752" 3130' 3.752" 628' 94" 2121 - - -\n13. 12. 8. Berry, Vanessa Madison, Natalia Mendez, Hannah Marseille, Jasmine JR SO SO SO Palm Beach Central King's Academy FAU High Boynton Beach 7810.6122m 0010.85m 279.119m 9.61m 24' 6.25" 31' 6.5" 29' 10.750" 628' 94" 1065 11 - -\n14. 13. 8. Madison, Natalia ferguson, ta'niaya Inskeep, Joey Hasenhuttl-Bishop, Eva FR SR FR JR Glades Central Glades Central Boca Raton FAU High 2310.23m 10.20m 388.760m ND 29' 10.750" 628' 94" 35' 7.25" 100 11 - 2121\n10. 1. 14. 4. Vickers, Patrianna McLeod, Shiyanna joseph, welda Hasenhuttl-Bishop, Eva SR SR SR SO Dwyer Atlantic (Delray) John I. Leonard Boca Raton 649.6775m 9.61m 177.47m 10.34m 628' 94" 24' 6.25" 11 534 - -\n10. 10. 13. Inskeep, Joey Marseille, Jasmine Joaseus, Bijou joseph, welda JR JR FR FR Glades Central Palm Beach Central Boynton Beach King's Academy 2310.23m 10.20m ND 2310.23m 31' 3" 131' 8.75" 131' 8.75" - - - 2121\n1. 5. ferguson, ta'niaya Vickers, Patrianna ferguson, ta'niaya Jonas, Aliyah SO SR FR FR Dwyer FAU High John I. Leonard FAU High 649.6775m 7810.6122m ND 49.242m 31' 6.5" 628' 94" 131' 8.75" - 33 - -\n4. Marseille, Jasmine Jonas, Aliyah Inskeep, Joey SR JR FR Atlantic (Delray) John I. Leonard Boynton Beach 0910.2366m 0910.2366m ND 833' 6.754" 833' 6.754" 35 35 34267\n7. 4. Jonas, Aliyah Ferguson, Zori-Ann ferguson, ta'niaya SR FR FR Dwyer Palm Beach Lakes John I. Leonard 9.79m ND 8.76m 1232' 1.52" 7431' 6.55" 34267 - 6113\n8. 14. Ferguson, Zori-Ann ferguson, ta'niaya Joaseus, Bijou JR SR SR Palm Beach Lakes John I. Leonard Atlantic (Delray) 49.670m 0910.2366m 57.470m 31' 8.75" 31' 8.75" 6113 34267 -\n9. 7. 7. Brown, Taishai joseph, welda Joaseus, Bijou SO FR SR Atlantic (Delray) Boynton Beach Dwyer 9.6119m 0910.2366m ND 7431' 6.55" 833' 6.754" 31' 8.75" - - 34267\n13. 13. Inskeep, Joey Inskeep, Joey Brown, Taishai FR SO FR Boca Raton Dwyer John I. Leonard 8.76m 49.670m 0910.2366m 428' 93" 428' 93" - 6113 -\n14. 7. 14. joseph, welda Ferguson, Zori-Ann Marseille, Jasmine SR SR SO John I. Leonard Dwyer John I. Leonard 57.470m 8.76m ND 824' 6.25" - - -\n13. Joaseus, Bijou joseph, welda Inskeep, Joey FR FR JR Boynton Beach John I. Leonard Boynton Beach ND ND 9.6119m 31' 8.75" 31' 8.75" - - 34267\n14. ferguson, ta'niaya Ferguson, Zori-Ann Ferguson, Zori-Ann FR FR SR John I. Leonard Atlantic (Delray) Dwyer ND ND 9.79m 31' 8.75" 31' 8.75" - - 35\n6. 1. 10. Berry, Vanessa Madison, Natalia Rodriguez, Mia SR SO JR FAU High Dwyer King's Academy 069.114m 6610.852m 069.114m 9734' 9.750" 9035' 7.2521" 929' 10.755" - 99100 618\n6. 2. 12. Hasenhuttl-Bishop, Eva Cook, Alicia Madison, Natalia SR JR JR Wellington Wellington Glades Central 19.521m 2410.61m 110.2065m 833' 5.7503" 9734' 9.750" 530' 3.75" - 28 306\n2. 3. 2. Vickers, Patrianna Vickers, Patrianna McLeod, Shiyanna SO JR FR Wellington Glades Central Glades Central 069.114m 410.34m 039.2460m 7931' 34" 33' 11.2591" 9035' 7.2521" 306 618 444\n3. 5. 1. Mendez, Hannah Berry, Vanessa Cook, Alicia SR SO FR Glades Central Palm Beach Central Glades Central 2410.61m 110.2065m 039.2460m 33' 11.2591" 833' 5.7503" 7931' 34" - 444 99100\n6. 6. 3. Hasenhuttl-Bishop, Eva Hasenhuttl-Bishop, Eva Hasenhuttl-Bishop, Eva SO SR SO Wellington Benjamin School Palm Beach Central 039.2460m 8610.028m 410.34m 929' 10.755" 32' 10.503" 32' 10.503" 99100 306 306\n11. 10. 5. Berry, Vanessa McLeod, Shiyanna McLeod, Shiyanna JR SR SO Benjamin School Benjamin School Dwyer 069.114m 19.521m 19.521m 9734' 9.750" 7931' 34" 833' 5.7503" 306 - -\n2. 11. 2. Cook, Alicia Rodriguez, Mia Berry, Vanessa SR FR SO King's Academy King's Academy King's Academy 039.2460m 039.2460m 19.521m 9734' 9.750" 530' 3.75" 929' 10.755" - - 444\n3. 12. 11. Mendez, Hannah Mendez, Hannah Cook, Alicia FR SO FR Glades Central FAU High Palm Beach Central 8610.028m 069.114m 2410.61m 9035' 7.2521" 929' 10.755" 929' 10.755" 28 - 444\nGenerated 2021-1-27 18:57:46


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Fan fierljeppen oant pandolo\nHast wolris in tsiis troch de stêd rôljen sjoen? Yn augustus 2018 soe it dy samar gebeure kinne! Tidens de earste Tafisa European Sport For All Games litte Europeeske sporters dy yn ‘e kunde komme mei de kultuersporten út harren lân. En dêr is it Italiaanske lancio del formaggio, wêrby’t tsiizen troch de strjitten rôle wurde, der ien fan.\nHast it oer Fryslân, dan hast it oer bûtensport. Fierljeppen, skûtsjesilen en keatsen binne ûnskiedber mei ús provinsje ferbûn. Se hawwe in rike histoarje en binne ferweven yn kultuer en identiteit. Fryslân is dêryn oars net unyk. In protte Europeeske lannen hawwe har eigen kultuersporten. Sporten dy’t it ferhaal en de skiednis fan lannen of regio’s sjen litte. Sporten dy’t ferbine en wêrby’t wille foarop stiet.\nSporte sûnder grinzen\nDe earste Tafisa European Sports For All Games draait folslein om dy ferburgen mar regionaal populêre sporten. Slovenië lit ús yn ‘e kunde komme mei pandolo, de Finnen litte ús Pesäpallo sjen, Finnish baseball, en de Britten stjoere in disabled martial arts team. Ek sporters út Spanje, Portugal, Poalen, België, Dútslân, Hongarije, Denemarken en Grikelân showe harren sport.\nIn sportevenemint dat syn wjergea net kent foarmet it startsein fan de ‘Games’. Fan dat momint ôf fine der fiif dagen lang yn hiel Fryslân demonstraasjes plak, wurde der wedstriden spile of sels folsleine toernooien organisearre. De earste Tafisa European Sports For All Games wurdt yn styl ôfsletten mei in feest for all.


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Sosjale sinjalen, SEO, en har ynfloed op inoar | Martech Zone\nMoandei augustus 31, 2015 Moandei augustus 31, 2015 Douglas Karr\nMatt Cutts dielde in fideo wêr't hy de útdaging bespriek dy't yngenieurs kinne hawwe as se ôfhinklikheden hiene makke tusken de Google-ranglistalgoritmen en sosjale sinjalen. Koartsein, it soe folle te riskant wêze om dizze ôfhinklikens te bouwen yn it gefal dat it oare sosjale mediaplatfoarm sykopdracht blokkeart of populêrens falt.\nIk twifelje net dat dit it gefal is, mar de rumors persist as professionals fan sykmasjines faak in korrelaasje sjogge tusken trending sosjale ûnderwerpen en trending rankings foar sykmasjines. As Matt herhellet, is dat lykwols gjin oarsaak. Wy hawwe ús gedachten oer de ynfloed fan sosjale media op SEO al, mar litte wy sosjale sinjalen beprate en hoe't de twa korreleare.\nFans en folgers telle - As jo in fêstige, bekende autoriteit binne yn jo sektor, is de kâns frij goed dat jo online binne oer skreaun. Faaks hawwe jo by eveneminten sprutsen, ynterviews dien, bylines skreaun, as minsken jo wurk ferwize. Ien fan dy fermeldingen soe fansels beide links nei jo ride. Fansels sil dy erkenning wierskynlik in solide folgjende online ride as jo aktyf sosjale media brûke. Sosjaal folgjen kin foar in grut part wêze ferfalsket, wêrtroch't dizze tellen tige ûnwierskynlik binne foar ranglistynfier.\nSosjale oandielen - Sosjale media leveret ien fan 'e meast effektive en effisjinte manieren om ynformaasje online te dielen yn relevante netwurken. Diel wat ûngewoane primêr ûndersyk as in twingend stikje ynhâld en jo sille net ferrast wurde as it as in fjoer ferspraat en safolle minsken berikt. Sosjale media-oandielen binne faak hoe't ik útfine oer nije ark of stúdzjes, wat resulteart yn dat ik der oer skriuw en backlinks produsearje. Hoewol hege voluminten fan sosjale dielen gjin rang feroarsaakje, sil it korrelearje mei grutte ranglist.\nOm't d'r gjin direkte korrelaasje is, betsjuttet lykwols net dat d'r gjin ynfloed is. As ik in geweldige boarne of platfoarm fyn by sykjen, sil ik it diele op myn sosjale mediakonten. As ik in ark ûntdekt op sosjale media en diel it mei myn wiidweidige publyk, sil it wierskynlik liede ta ekstra artikels en backlinks dy't ranglist ride. Dat hoewol d'r gjin direkte korrelaasje is, is d'r in yndirekte oarsaak dy't elk kanaal oan 'e oare kin hawwe.\nIt brûken fan beide kanalen sil de resultaten fan 'e oare ferbetterje. Negearje dizze kâns net! Hjir binne in pear geweldige tips fan Sprout Sosjaal foar behearders fan sosjale media om ôf te stimmen mei organyske sykmasino-optimalisaasjestrategyen.\nDiele fan sosjale media groeit\nParse.ly koartlyn in rapport útbrocht dat Facebook hat Google no oerwûn as de topferwizer nei útjouwers. Dizze delgong is kritysk foar útjouwers om yn gedachten te hâlden. As jo al jo ynspanningen streame yn kânsen op sykmasjineoptimisaasje en backlink, en gjin geweldige strategie foar sosjale media ûntwikkelje, falle de kânsen om nij publyk te berikken.\nTags: sykmasineoptimalisearringseososjale mediasignalensosjale mediastrategysosjale dielingsstrategysosjale sinjalensosjale strategy


Filter by:Marine Assessment and Decision Support > Cold-water CoralsInformatics > Spatial analysisInformatics > Spatial analysisMarine Assessment and Decision Support > Deep-Sea BiodiversitySpecies > Species Information > Animals > Birds Add filters:Biodiversity, Biomass and Food SecurityBiodiversity SciencesModellingBusiness, Biodiversity and Ecosystem ServicesClimate Change and BiodiversityImpactsMitigationBioenergyCarbon & Biodiversity MappingUN-REDDRestorationAdaptationEcosystem AssessmentBiodiversity IndicatorsBINUBIP 2010RamsarGLOBIOBiodiversity AssessmentGBO-3ESPABiodiversity AtlasesRegional and National Capacity SupportEcosystem Services & ValuationTEEBHabitatsDrylandsForestFreshwaterMountainsPolarWetlandsIntl. Environmental Policy ProcessesBiodiversity and Poverty ReductionSustainable useInformaticsData managementSpatial analysisInternational Policy and StrategyMEAsMarine Assessment and Decision SupportCoralsCold-water CoralsCoastal EcosystemsDeep-Sea BiodiversityHigh SeasInvasive SpeciesMangrovesSeagrassProtected AreasAboutWorld Database on Protected AreasProtected PlanetUN List of Protected AreasProtected Area CategoriesIABINUNESCO World Heritage Sites ICCAsMarine Protected AreasTransboundary Protected AreasEcological CorridorsIABINMonitoring Protected AreasManagement EffectivenessProtected Area IndicatorsSpeciesCITESEU Wildlife Trade RegulationsCMSSpecies InformationAnimalsBirdsMammalsGreat ApesPlantsTreesAbout UNEP-WCMCPolicies UNEP-WCMC does not assert any intellectual property rights in the data made available to it by data providers.Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions set out in the policies below. Home


Notablist: Untwerp fan ynspiraasje en konkurrearjend ûndersyk foar e-postmarketeers | Martech Zone\nNotablist merket harsels as de sykmasjine foar e-postnijsbrieven, mei mear as 5 miljoen sykjen e-postbrieven oer mear dan 400,000 útjouwers. Hulpmiddelen lykas dizze binne fantastysk foar ûntwerpers dy't ynspiraasje wolle krije fan wichtige merken as digitale marketeers dy't wolle sjen wannear't har konkurrinten ferstjoere en hokker soarte nijsbrieven en deals wurde kommunisearre.\nAs jo in bedriuw binne dat net de boarnen hat om te testen, kinne dizze ark bysûnder nuttich wêze, om't de grutte útjouwers in soad ynspanning tapasse op it krijen fan har e-postberjochten!\nNotablist hat nochal wat funksjes en foardielen:\nAvansearre sykjen en filterjen - Sykje op ûnderwerp, namme fan stjoerder, e-postadres fan stjoerder, haadtekst of sels URL. Filterje op datum, Alexa rang en sels kleur.\nKeyword Trending Grafiken - Spot trends mei ús ynteraktive werjouwer foar tiidsline, zoom dan yn op wichtige tiidframes en spesifike datums om tichterby te sjen.\nDeistige digests - Besparje tiid en mis in kampanje noait mei deistige e-postferwurking fan nije kampanjes foar jo favorite merken.\nRealtime updates - Kampanjes binne beskikber foar sykjen op it momint dat se wurde ferstjoerd, en permanint argiveare.\n24 / 7 Support - Se binne hjir as jo se nedich binne, of it no is foar in fraach, brekrapport of suggestje foar produkten.\nJo kinne sels ús eardere útjeften beskikber fine!\nNotablist hat ek in Pro tafoege, in ferbettere servicenier dy't tafoeget:\nReal-time sykresultaten - Op it momint dat in kampanje komt, is it te sykjen. Boppedat lit jo mei in knop 'Live updates' op 'e side mei sykresultaten kontinu ad-hoc-sykopdrachten kontrolearje op nije ynkommende items.\nLive dashboard - Blêdwizer meitsje fan jo favorite sykopdrachten is in geweldige manier om op 'e hichte te bliuwen, mar soe it net better wêze as jo allegear op ien plak sjen kinne? It live dashboard docht krekt dat: it konsolideart de resultaten foar al jo blêdwizers yn ien werjefte fan 'e tiidsline dy't kontinu bywurket as nije items oankomme. Tink oan it as in Twitterfeed foar de nijsbriefkampanjes dy't jo ynteressearje.\nReal-time e-post warskôgings - Guon dingen kinne net wachtsje. Wat wichtiger is, guon dingen kinne net mist wurde. Mei warskôgings yn realtime kinne jo in direkte e-post ûntfange as in nije kampanje komt foar ien fan jo blêdwizers.\nYnstruminten foar yn kaart bringe - Sykresultaten befetsje al sparkline-charts dy't de 90-dei-trend foar jo syktermen sjen litte. Mar it is faaks wichtich om meardere termen te fergelykjen om te sjen wat opkomt en wat delkomt, of sels hokker ûnder har it populêrst is. Mei de visualizer kinne jo dat gewoan dwaan en resultaten sjen as line- as pie-charts.\nTags: kompetitive e-post sykjekompetitive ûndersykemailbest practices foar e-poste-postdatabanke-post ûntwerpe-post foarbyldene-sykmasjinee-post testennijsbriefnijsbrief ûntwerpnijsbrief ynspiraasjenotablist


Holiday Inn Lafayette - Lafayette, Louisiana - Yahoo! Travel\nYahoo! User ReviewsReviews for Holiday Inn Lafayette: 18 AVERAGE OVERALL RATINGSERVICE (3.5)CLEANLINESS (3.5)LOCATION (4)VALUE (3.5)See All ReviewsLoading...Loading... Explore the Lafayette, Louisiana Travel GuidePopular Hotels in Lafayette, LouisianaDrury Inn and Suites LafayetteT'Frere's House Bed & BreakfastBois des Chenes InnAmericas Best Inn and Suites LafayetteHampton Inn & Suites LafayetteBlue Moon Guest House & SaloonBendel Executive SuitesDucote Williams House Ab & BClarion Inn Lafayette AirportLa Quinta Inn Lafayette NorthPopular Cities near Lafayette, LouisianaBaton Rouge, LALake Charles, LANatchez, MSMarksville, LANew Iberia, LAHouma, LAHammond, LASt Francisville, LAAlexandria, LAPort Allen, LASuggest a Hotel Yahoo! Users VotedTop tags for Holiday Inn Lafayette, LafayetteLUXURY (2)SHOPPING (1)SUMMER (1)No entries yet. Vote on what it's best for...See additional tags for this hotel VOTE Available in the App Store\nIn this price rangeDrury Inn and Suites LafayetteT'Frere's House Bed & BreakfastBois des Chenes InnAmericas Best Inn and Suites LafayetteHampton Inn & Suites LafayetteIn this hotel classDrury Inn and Suites LafayetteLa Quinta Inn & Suites Lafayette Oil CenterQuality Inn LafayetteHilton Garden Inn Lafayette/CajundomeHilton Lafayette Hotel\nSubmit a change or correction for this hotel Home > Travel Guides > United States > Louisiana > Lafayette > Lafayette Hotels > Holiday Inn Lafayette


Stipe - Ningbo BestCleaner Co., Ltd\nHoe te dwaan Clean test:\nManeuverability -Here we sjogge nei hoe maklik it is om te farren, trekken en lift de masine. Wy testen op tapiten en hurde flierren en sjogge foar problemen lykas overbalancing op oprjucht masines, fleksibiliteit en mienskiplike saken lykas "sticking" koppen op hurde flierren fanwege min ûntwurpen cleaner hollen.\nCarpet cleaning - Wy teste mei help fan wyt poeier op donkere tapiten en test nei trije sweeps, dêr't men sweep is op en del oer it gebiet.\nEdge cleaning - Dizze test sjocht hoe goed de masine schone oant de râne fan skirting boards foardat jo moatte syn taflecht te spesjalistyske crevice ark.\nHard ferdjipping cleaning - Wy fiere sa'n tests op hurde ferdjippingen en sjoch hoe goed de stofsûger sucks stof omheech út crevices en wite plakken yn flooring.\nPet hair cleaning - Hoe lang en hoefolle sweeps duorret it skjin te meitsjen in 40cm-diameter kring fan gekamd-in pet hier.\nCleaning op trap - Wy sjogge hoe maklik it is om skjin op treppen mei help fan 'e ark foarsjoen. Wy betelje it bysûnder omtinken foar hoe lang de detachable hose is en hoe maklik it is om drage de stofsûger as jo moatte.\nNoise - Wy mjitte hoe't lawaaierig de masine is yn Decibels opnommen op kop nivo.\nWy ek kontrolearje om te sjen hokker accessoires yn opnommen binne, hoe goed se wurkje en hoe alsidich de masine is. Bygelyks, guon stofzuigers binne goed op spesifike banen, wylst oaren hawwe in soad ynstruminten dy't meitsje se iepen foar mear ferskaat.\nOare Details wy kontrolearje binne ûnder oare de gurdle lingte op corded stofzuigers, de batterij libben op Triedleaze modellen en hoe maklik it is nei lege bagless modellen.\nAs jo fragen hawwe, Nim kontakt op mei: 86 574 63932251


Zachary Gordon: 3 Million Fans wachtsje op jo Webtalk! - 💌 WebTK - jo kaartsje WebTalK 🚀 Lês, Oersjoch, Nijs & mear 🔥\nZachary Gordon: do you know that greater than three million potential followers are ready for you on Webtalk, it merk fan nije sosjale media dy't fluch Fb en LinkedIn fluch falle kinne?\nMei Webtalk, you might be supplied a novel alternative to develop an necessary following earlier than any of your competitor in addition to a tremendous earnings alternative as your crowd generates income for you! Moreover, by becoming a member of in our workforce, the Webtalk Stars Team, jo krije wille fan VIP-assistint en trening om jo te meitsjen Webtalk expertise the most effective. Our workforce has expertise with celebrities and can make it easier to promote your self with the perfect instruments and methods.\nEric Strobel: 3 Million Fans wachtsje op jo Webtalk!\nMark Strittmatter: 3 Million Fans wachtsje op jo Webtalk!\nSherry Stringfield: 3 Million Fans wachtsje op jo Webtalk!\nHal Stringert: 3 Million Fans wachtsje op jo Webtalk!\nVivian Stringer: 3 Million Fans wachtsje op jo Webtalk!


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HAPPY TUBE autumn dots - Studio Babs\nHAPPY TUBE autumn dots\nStudio Babs > Producten > BABS Tassen > HAPPY TUBE autumn dots\nBuitenstof groen met zwarte stip canvaskatoen. Binnenstof okergele canvaskatoen. Afwerking details (lipje aan D-ring en treklusje) met door mij zelf gesneden zwart leer.\nSKU: happy tube autumn dots - Hulp nodig? Neem contact op Geef feedback\nHAPPY CITY BAG summerdream\nHAPPY STRAP – pink & red


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Revision as of 19:05, 27 July 2010 (view source)BalsGH (talk | contribs)← Older edit\n−◄ Back to [[Portal:Fryslân or Friesland|Fryslân or Friesland Portal Page]] +◄ Back to [[Fryslân or Friesland|Fryslân or Friesland Page]] In Fryslân (Friesland) the official Frisian language is still spoken and a genealogical periodical 'Ut de Smidte' is publshed in that language. Just recently a new Frisian dictionary - Wurdboek fan de Fryske taal/Woordenboek der Friese taal online (Dictionary of the Frisian language) has been put on the Internet, you can find it: [http://gtb.inl.nl Historische woordenboeken op internet (Historical dictionaries on the Internet)] In Fryslân (Friesland) the official Frisian language is still spoken and a genealogical periodical 'Ut de Smidte' is publshed in that language. Just recently a new Frisian dictionary - Wurdboek fan de Fryske taal/Woordenboek der Friese taal online (Dictionary of the Frisian language) has been put on the Internet, you can find it: [http://gtb.inl.nl Historische woordenboeken op internet (Historical dictionaries on the Internet)] −
You can listen and watch in English how this dictionary works on YouTube: [http://www.fryske-akademy.nl/fa/index-nl/view?set_language=nl Frisian dictionary]. Be sure to click on the English flag icon, to hear the instructions in Englsh.+
You can listen and watch in English how this dictionary works on YouTube: [http://www.fryske-akademy.nl/fa/index-nl/view?set_language=nl Frisian dictionary]. Be sure to click on the English flag icon, to hear the instructions in Englsh. + +[[Category:Netherlands]]


Magical Mama Zaujah Wealth Spells Lottery. Magical Money. Wealth Spell +27784009522 Akathiyoor – Way2ad free classifieds India, post free classifieds\nMagical Mama Zaujah Wealth Spells Lottery. Magical Money. Wealth Spell +27784009522\n» Fitness & Yoga classes\n» Magical Mama Zaujah Wealth Spells Lottery. Magical Money. Wealth Spell +27784009522\nAkathiyoor, Kerala, India Published date: March 9, 2018\nDOUBLING MONEY SPELL\nThis is the spell which is more beautiful and golden ways to get money ,have you always been working but you don't see where money is ,this is the opportunity of your money to e doubled by this powerful spell\nSAVING MONEY SPELL\nThis type of spell will help you to have money ,are you working but your money is nowhere to be seen this spell is here to help you , are you striking with richness don't pass up this helping spell this is going to change your standard of living\nSPY MONEY SPELL\nYou want to grow your business .this spy spell is the most working money spell, This spell is done by spying where you can find money which is going to change your life, and also finding ways to get money no matter how hard your situation is.\nYou want to grow your business .this spy spell is the most working money spell, This spell is done by spying where you can find money which is going to change your life, and also finding ways to get money no matter how hard your situation is. CONTACT +27784009522/mamazaujah@gmail.com/www.lovespellusa.com\nAkathiyoor, Kerala Show on map\nOn site since: Mar 2018\nKundli Second Marriage Yog The Beat World+27634529...\nFitness & Yoga classesFree\nHot Hager Werken Embalming Powder +27787930326 for...\nFitness & Yoga classes1200.00 Dollar US$\nWebzen Calls MU Legend New Generation ARPG MMO\nFitness & Yoga classes12.00 Rs.


Xeon Platinum Ubuntu 19.04 Benchmarks - OpenBenchmarking.org\n2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and llvmpipe on Ubuntu 19.04 via the Phoronix Test Suite.\nCompare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2102095-HA-XEONPLATI27\nProcessor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 378GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE\nOS: Ubuntu 19.04, Kernel: 5.0.0-38-generic (x86_64), Desktop: GNOME Shell 3.32.2, Display Server: X Server 1.20.4, OpenGL: 3.3 Mesa 19.0.8 (LLVM 8.0 256 bits), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768\nXeon Platinum Ubuntu 19.04OpenBenchmarking.orgPhoronix Test Suite 10.2.22 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads)GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS)Intel Sky Lake-E DMI3 Registers378GB280GB INTEL SSDPED1D280GAllvmpipe2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbEUbuntu 19.045.0.0-38-generic (x86_64)GNOME Shell 3.32.2X Server 1.20.43.3 Mesa 19.0.8 (LLVM 8.0 256 bits)GCC 8.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionXeon Platinum Ubuntu 19.04 BenchmarksSystem Logs- Transparent Huge Pages: madvise- CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c- Python 2.7.16 + Python 3.7.3- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled\nXeon Platinum Ubuntu 19.04quantlib: hpcg: npb: EP.Dnpb: LU.Crodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusternamd: ATPase Simulation - 327,506 Atomsdolfyn: Computational Fluid Dynamicsneat: amg: pennant: sedovbigpennant: leblancbigmrbayes: Primate Phylogeny Analysisqmcpack: simple-H2Ohmmer: Pfam Database Searchincompact3d: Cylindermafft: Multiple Sequence Alignment - LSU RNAmocassin: Dust 2D tau100.0openfoam: Motorbike 30Mopenfoam: Motorbike 60Mqe: AUSURF112lammps: 20k Atomslammps: Rhodopsin Proteinwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionlibraw: Post-Processing Benchmarkarrayfire: BLAS CPUarrayfire: Conjugate Gradient CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastsvt-av1: Enc Mode 0 - 1080psvt-av1: Enc Mode 4 - 1080psvt-av1: Enc Mode 8 - 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080px265: Bosphorus 4Kx265: Bosphorus 1080pmt-dgemm: Sustained Floating-Point Rateoidn: Memorialopenvkl: vklBenchmarkopenvkl: vklBenchmarkVdbVolumeopenvkl: vklBenchmarkStructuredVolumeopenvkl: vklBenchmarkUnstructuredVolumeluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismhimeno: Poisson Pressure Solveryafaray: Total Time For Sample Scenenumpy: ngspice: C2670ngspice: C7552webp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Quality 100, Compression Effort 5synthmark: VoiceMark_100node-web-tooling: financebench: Repo OpenMPfinancebench: Bonds OpenMPaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingaskap: Hogbom Clean OpenMPgromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2mysqlslap: 128mysqlslap: 256mysqlslap: 512pgbench: 100 - 100 - Read Onlypgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlypgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 100 - Read Writepgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 250 - Read Write - Average Latencysqlite-speedtest: Timed Time - Size 1,000redis: LPOPredis: SADDredis: LPUSHredis: GETredis: SETcaffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 200tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1plaidml: No - Inference - VGG16 - CPUplaidml: No - Inference - VGG19 - CPUplaidml: No - Inference - ResNet 50 - CPUindigobench: CPU - Bedroomindigobench: CPU - Supercarblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyonnx: yolov4 - OpenMP CPUonnx: bertsquad-10 - OpenMP CPUonnx: fcn-resnet101-11 - OpenMP CPUonnx: shufflenet-v2-10 - OpenMP CPUonnx: super-resolution-10 - OpenMP CPUpybench: Total For Average Test Timespyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonappleseed: Emilyappleseed: Disney Materialappleseed: Material Testerphpbench: PHP Benchmark Suitekripke: v-ray: CPUUbuntu 19.042296.229.03954069.10140470.3155.888114.03662.0647.26011.9600.3659722.89232.958148843200021.827528.462018110.04736.725212.287150.95520013.04918921.00168.521417.3226.65427.9062.49019.2407.39338.613460.928.4831.337941.090703.708412.232273.687030.3914090.331390934.3423.173604.583324.45297558.126923.534576.4880.3319910.81479916.8828.6368.07122.900.1388.21260.760258.83267.36222.7819.2834.5018.71889135.47456248127677507791319933577.367.273994.504177223.468344.63163.824135.573133.443248.9178.474535.51210.0351894.80468788678.11458410262.112085.0615.3065.77467294.41102083104739.153606.757234.610115585994995218737570.1156490700.386443522.258434525.77164.9072338189.981901359.651486892.542201881.921747022.3982612225798365.997329.55528.2123.494.728.41919.93038.38104.2231740213861566410108024034010910311618.746826.110917311.354.1445157.87455269.319669193.0101156331779350257747419OpenBenchmarking.org\nOpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21Ubuntu 19.045001000150020002500SE +/- 10.45, N = 32296.21. (CXX) g++ options: -O3 -march=native -rdynamic -lboost_timer -lboost_system -lboost_chrono\nOpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Ubuntu 19.04714212835SE +/- 0.15, N = 329.041. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DUbuntu 19.049001800270036004500SE +/- 18.13, N = 34069.101. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CUbuntu 19.0430K60K90K120K150KSE +/- 278.43, N = 3140470.311. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3\nOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDUbuntu 19.041326395265SE +/- 0.55, N = 355.891. (CXX) g++ options: -O2 -lOpenCL\nOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DUbuntu 19.04306090120150SE +/- 1.32, N = 4114.041. (CXX) g++ options: -O2 -lOpenCL\nOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteUbuntu 19.041428425670SE +/- 0.71, N = 1362.061. (CXX) g++ options: -O2 -lOpenCL\nOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverUbuntu 19.04246810SE +/- 0.090, N = 157.2601. (CXX) g++ options: -O2 -lOpenCL\nOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterUbuntu 19.043691215SE +/- 0.02, N = 311.961. (CXX) g++ options: -O2 -lOpenCL\nOpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsUbuntu 19.040.08230.16460.24690.32920.4115SE +/- 0.00094, N = 30.36597\nOpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsUbuntu 19.04510152025SE +/- 0.04, N = 322.89\nOpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Ubuntu 19.04816243240SE +/- 0.26, N = 1532.961. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace\nOpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2Ubuntu 19.04300M600M900M1200M1500MSE +/- 6349082.45, N = 314884320001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi\nOpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigUbuntu 19.04510152025SE +/- 0.02, N = 321.831. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi\nOpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigUbuntu 19.04246810SE +/- 0.013902, N = 38.4620181. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisUbuntu 19.0420406080100SE +/- 0.25, N = 3110.051. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mrdrnd -mbmi -mbmi2 -madx -mmpx -mabm -O3 -std=c99 -pedantic -march=native -lm\nOpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.10Input: simple-H2OUbuntu 19.04816243240SE +/- 0.07, N = 336.731. (CXX) g++ options: -O3 -march=native -fopenmp -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -fomit-frame-pointer -ffast-math -lm -pthread\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchUbuntu 19.0450100150200250SE +/- 0.20, N = 3212.291. (CC) gcc options: -O3 -march=native -pthread -lhmmer -leasel -lm\nOpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderUbuntu 19.04306090120150SE +/- 0.61, N = 3150.961. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAUbuntu 19.043691215SE +/- 0.18, N = 313.051. (CC) gcc options: -std=c99 -O3 -lm -lpthread\nOpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Ubuntu 19.0440801201602001891. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi\nOpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MUbuntu 19.04510152025SE +/- 0.07, N = 321.001. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm\nOpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MUbuntu 19.044080120160200SE +/- 0.34, N = 3168.521. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm\nOpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112Ubuntu 19.0430060090012001500SE +/- 60.78, N = 41417.321. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi\nOpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsUbuntu 19.04612182430SE +/- 0.03, N = 326.651. (CXX) g++ options: -O3 -march=native -pthread -lm\nOpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinUbuntu 19.04714212835SE +/- 0.06, N = 327.911. (CXX) g++ options: -O3 -march=native -pthread -lm\nOpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Ubuntu 19.040.56031.12061.68092.24122.8015SE +/- 0.004, N = 32.4901. (CC) gcc options: -fvisibility=hidden -O3 -march=native -pthread -lm -lpng16 -ljpeg\nOpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessUbuntu 19.04510152025SE +/- 0.01, N = 319.241. (CC) gcc options: -fvisibility=hidden -O3 -march=native -pthread -lm -lpng16 -ljpeg\nOpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionUbuntu 19.04246810SE +/- 0.006, N = 37.3931. (CC) gcc options: -fvisibility=hidden -O3 -march=native -pthread -lm -lpng16 -ljpeg\nOpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkUbuntu 19.04918273645SE +/- 0.05, N = 338.611. (CXX) g++ options: -O3 -march=native -fopenmp -ljpeg -lz -lm\nOpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUUbuntu 19.047001400210028003500SE +/- 4.47, N = 33460.921. (CXX) g++ options: -O3 -march=native -rdynamic\nOpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUUbuntu 19.04246810SE +/- 0.739, N = 158.4831. (CXX) g++ options: -O3 -march=native -rdynamic\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUUbuntu 19.040.3010.6020.9031.2041.505SE +/- 0.00870, N = 151.33794MIN: 1.091. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUUbuntu 19.040.24540.49080.73620.98161.227SE +/- 0.00937, N = 151.09070MIN: 0.751. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.040.83441.66882.50323.33764.172SE +/- 0.00380, N = 33.70841MIN: 3.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.040.50231.00461.50692.00922.5115SE +/- 0.05726, N = 152.23227MIN: 2.051. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUUbuntu 19.040.82961.65922.48883.31844.148SE +/- 0.00220, N = 33.68703MIN: 3.591. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUUbuntu 19.040.08810.17620.26430.35240.4405SE +/- 0.000442, N = 30.391409MIN: 0.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUUbuntu 19.040.07460.14920.22380.29840.373SE +/- 0.002349, N = 30.331390MIN: 0.321. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUUbuntu 19.042004006008001000SE +/- 5.96, N = 15934.34MIN: 905.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.040.71411.42822.14232.85643.5705SE +/- 0.01090, N = 33.17360MIN: 2.941. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.041.03122.06243.09364.12485.156SE +/- 0.00382, N = 34.58332MIN: 4.451. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.041.00192.00383.00574.00765.0095SE +/- 0.00670, N = 34.45297MIN: 4.41. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUUbuntu 19.04120240360480600SE +/- 5.67, N = 3558.13MIN: 543.231. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.042004006008001000SE +/- 0.79, N = 3923.53MIN: 910.011. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.04120240360480600SE +/- 9.03, N = 15576.49MIN: 541.141. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUUbuntu 19.040.07470.14940.22410.29880.3735SE +/- 0.002873, N = 80.331991MIN: 0.271. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.040.18330.36660.54990.73320.9165SE +/- 0.001869, N = 30.814799MIN: 0.761. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread\nOpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastUbuntu 19.0448121620SE +/- 0.05, N = 316.881. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O3 -march=native -lpthread -lm -lrt\nOpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastUbuntu 19.04714212835SE +/- 0.22, N = 328.631. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O3 -march=native -lpthread -lm -lrt\nOpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastUbuntu 19.041530456075SE +/- 0.59, N = 368.071. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O3 -march=native -lpthread -lm -lrt\nOpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastUbuntu 19.04306090120150SE +/- 0.68, N = 3122.901. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O3 -march=native -lpthread -lm -lrt\nOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pUbuntu 19.040.03110.06220.09330.12440.1555SE +/- 0.000, N = 30.1381. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie\nOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pUbuntu 19.04246810SE +/- 0.016, N = 38.2121. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie\nOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pUbuntu 19.041428425670SE +/- 0.48, N = 360.761. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie\nOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pUbuntu 19.0460120180240300SE +/- 3.52, N = 3258.831. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm\nOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pUbuntu 19.0460120180240300SE +/- 3.58, N = 3267.361. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm\nOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pUbuntu 19.0450100150200250SE +/- 2.60, N = 3222.781. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm\nOpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KUbuntu 19.04510152025SE +/- 0.19, N = 319.281. (CXX) g++ options: -O3 -march=native -rdynamic -lpthread -lrt -ldl -lnuma\nOpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pUbuntu 19.04816243240SE +/- 0.14, N = 334.501. (CXX) g++ options: -O3 -march=native -rdynamic -lpthread -lrt -ldl -lnuma\nOpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateUbuntu 19.04510152025SE +/- 0.08, N = 318.721. (CC) gcc options: -O3 -march=native -fopenmp\nOpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialUbuntu 19.04816243240SE +/- 0.41, N = 335.47\nOpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUbuntu 19.04100200300400500SE +/- 4.20, N = 9456MIN: 1 / MAX: 1812\nOpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeUbuntu 19.045M10M15M20M25MSE +/- 70798.88, N = 324812767MIN: 868934 / MAX: 162479232\nOpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeUbuntu 19.0416M32M48M64M80MSE +/- 1084350.33, N = 1575077913MIN: 1073646 / MAX: 803527920\nOpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeUbuntu 19.04400K800K1200K1600K2000KSE +/- 2118.45, N = 31993357MIN: 20783 / MAX: 6493629\nOpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCUbuntu 19.04246810SE +/- 0.01, N = 37.36MIN: 7.25 / MAX: 7.66\nOpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismUbuntu 19.04246810SE +/- 0.33, N = 157.27MIN: 4.37 / MAX: 8.24\nOpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverUbuntu 19.049001800270036004500SE +/- 0.36, N = 33994.501. (CC) gcc options: -O3 -march=native -mavx2\nOpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneUbuntu 19.0450100150200250SE +/- 16.23, N = 12223.471. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lboost_system -lboost_filesystem -lboost_locale\nOpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkUbuntu 19.0470140210280350SE +/- 1.31, N = 3344.63\nOpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C2670Ubuntu 19.044080120160200SE +/- 1.27, N = 12163.821. (CC) gcc options: -O3 -march=native -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE\nOpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C7552Ubuntu 19.04306090120150SE +/- 1.71, N = 3135.571. (CC) gcc options: -O3 -march=native -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE\nOpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 75, Compression Effort 7Ubuntu 19.04306090120150SE +/- 1.20, N = 12133.441. (CXX) g++ options: -O3 -march=native -fno-rtti -rdynamic -lOpenGL -lGLX -lGLU -lglut -lXmu -lXi -lpthread -ljpeg\nOpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 95, Compression Effort 7Ubuntu 19.0450100150200250SE +/- 1.25, N = 3248.921. (CXX) g++ options: -O3 -march=native -fno-rtti -rdynamic -lOpenGL -lGLX -lGLU -lglut -lXmu -lXi -lpthread -ljpeg\nOpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Compression Effort 5Ubuntu 19.04246810SE +/- 0.005, N = 38.4741. (CXX) g++ options: -O3 -march=native -fno-rtti -rdynamic -lOpenGL -lGLX -lGLU -lglut -lXmu -lXi -lpthread -ljpeg\nOpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100Ubuntu 19.04120240360480600SE +/- 0.56, N = 3535.511. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast\nOpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkUbuntu 19.043691215SE +/- 0.12, N = 410.031. Nodejs v10.15.2\nOpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPUbuntu 19.0411K22K33K44K55KSE +/- 498.18, N = 351894.801. (CXX) g++ options: -O3 -march=native -fopenmp\nOpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPUbuntu 19.0420K40K60K80K100KSE +/- 101.32, N = 388678.111. (CXX) g++ options: -O3 -march=native -fopenmp\nOpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingUbuntu 19.042K4K6K8K10KSE +/- 66.19, N = 310262.11. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp\nOpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingUbuntu 19.043K6K9K12K15KSE +/- 78.97, N = 312085.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp\nOpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPUbuntu 19.04130260390520650SE +/- 17.36, N = 15615.311. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp\nOpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkUbuntu 19.041.29922.59843.89765.19686.496SE +/- 0.014, N = 35.7741. (CXX) g++ options: -O3 -march=native -pthread -lrt -lpthread -lm\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetUbuntu 19.0414K28K42K56K70KSE +/- 669.07, N = 1567294.4\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Ubuntu 19.04200K400K600K800K1000KSE +/- 7251.55, N = 141102083\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileUbuntu 19.0420K40K60K80K100KSE +/- 2444.48, N = 12104739.1\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatUbuntu 19.0411K22K33K44K55KSE +/- 675.73, N = 1253606.7\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantUbuntu 19.0412K24K36K48K60KSE +/- 727.18, N = 1557234.6\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ubuntu 19.04200K400K600K800K1000KSE +/- 17126.87, N = 151011558\nOpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 128Ubuntu 19.04130260390520650SE +/- 2.90, N = 35991. (CXX) g++ options: -O3 -march=native -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lcrypt -lz -lm -lssl -lcrypto -ldl\nOpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 256Ubuntu 19.04110220330440550SE +/- 1.09, N = 34991. (CXX) g++ options: -O3 -march=native -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lcrypt -lz -lm -lssl -lcrypto -ldl\nOpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 512Ubuntu 19.04110220330440550SE +/- 0.18, N = 35211. (CXX) g++ options: -O3 -march=native -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lcrypt -lz -lm -lssl -lcrypto -ldl\nOpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyUbuntu 19.04200K400K600K800K1000KSE +/- 2996.12, N = 38737571. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm\nOpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyUbuntu 19.040.02590.05180.07770.10360.1295SE +/- 0.000, N = 30.1151. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm\nOpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyUbuntu 19.04140K280K420K560K700KSE +/- 7278.19, N = 46490701. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm\nOpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyUbuntu 19.040.08690.17380.26070.34760.4345SE +/- 0.004, N = 40.3861. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm\nOpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteUbuntu 19.049K18K27K36K45KSE +/- 132.51, N = 3443521. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm\nOpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyUbuntu 19.040.50811.01621.52432.03242.5405SE +/- 0.007, N = 32.2581. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm\nOpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteUbuntu 19.049K18K27K36K45KSE +/- 269.58, N = 3434521. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm\nOpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyUbuntu 19.041.29852.5973.89555.1946.4925SE +/- 0.037, N = 35.7711. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm\nOpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Ubuntu 19.041428425670SE +/- 0.15, N = 364.911. (CC) gcc options: -O3 -march=native -ldl -lz -lpthread\nOpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPUbuntu 19.04500K1000K1500K2000K2500KSE +/- 68474.33, N = 152338189.981. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3 -march=native\nOpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDUbuntu 19.04400K800K1200K1600K2000KSE +/- 39203.08, N = 121901359.651. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3 -march=native\nOpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHUbuntu 19.04300K600K900K1200K1500KSE +/- 12883.11, N = 31486892.541. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3 -march=native\nOpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETUbuntu 19.04500K1000K1500K2000K2500KSE +/- 70535.69, N = 152201881.921. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3 -march=native\nOpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETUbuntu 19.04400K800K1200K1600K2000KSE +/- 30273.24, N = 151747022.391. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3 -march=native\nOpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Ubuntu 19.0420K40K60K80K100KSE +/- 2840.64, N = 15826121. (CXX) g++ options: -O3 -march=native -fPIC -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas\nOpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Ubuntu 19.0450K100K150K200K250KSE +/- 1675.73, N = 32257981. (CXX) g++ options: -O3 -march=native -fPIC -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas\nOpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Ubuntu 19.0480160240320400SE +/- 1.21, N = 3366.00MIN: 354.49 / MAX: 501.681. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl\nOpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Ubuntu 19.0470140210280350SE +/- 0.06, N = 3329.56MIN: 329.04 / MAX: 331.161. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl\nOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUUbuntu 19.04714212835SE +/- 0.19, N = 328.21\nOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUUbuntu 19.04612182430SE +/- 0.25, N = 1523.49\nOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUUbuntu 19.041.0622.1243.1864.2485.31SE +/- 0.01, N = 34.72\nOpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomUbuntu 19.04246810SE +/- 0.031, N = 38.419\nOpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarUbuntu 19.04510152025SE +/- 0.04, N = 319.93\nOpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyUbuntu 19.04918273645SE +/- 0.17, N = 338.38\nOpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyUbuntu 19.0420406080100SE +/- 0.38, N = 3104.22\nOpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUUbuntu 19.0470140210280350SE +/- 3.24, N = 33171. (CXX) g++ options: -O3 -march=native -fopenmp -ffunction-sections -fdata-sections -ldl -lrt\nOpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUUbuntu 19.0490180270360450SE +/- 2.57, N = 34021. (CXX) g++ options: -O3 -march=native -fopenmp -ffunction-sections -fdata-sections -ldl -lrt\nOpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUUbuntu 19.04306090120150SE +/- 0.58, N = 31381. (CXX) g++ options: -O3 -march=native -fopenmp -ffunction-sections -fdata-sections -ldl -lrt\nOpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUUbuntu 19.0413002600390052006500SE +/- 35.31, N = 361561. (CXX) g++ options: -O3 -march=native -fopenmp -ffunction-sections -fdata-sections -ldl -lrt\nOpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUUbuntu 19.0414002800420056007000SE +/- 33.38, N = 364101. (CXX) g++ options: -O3 -march=native -fopenmp -ffunction-sections -fdata-sections -ldl -lrt\nOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesUbuntu 19.042004006008001000SE +/- 2.52, N = 31080\nOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goUbuntu 19.0450100150200250240\nOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Ubuntu 19.0470140210280350340\nOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosUbuntu 19.0420406080100109\nOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatUbuntu 19.0420406080100103\nOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyUbuntu 19.04306090120150116\nOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibUbuntu 19.04510152025SE +/- 0.00, N = 318.7\nOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceUbuntu 19.04100200300400500SE +/- 0.33, N = 3468\nOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsUbuntu 19.04612182430SE +/- 0.00, N = 326.1\nOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesUbuntu 19.0420406080100109\nOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileUbuntu 19.044080120160200173\nOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupUbuntu 19.043691215SE +/- 0.00, N = 311.3\nOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateUbuntu 19.041224364860SE +/- 0.07, N = 354.1\nOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonUbuntu 19.04100200300400500445\nOpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyUbuntu 19.04306090120150157.87\nOpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialUbuntu 19.04153045607569.32\nOpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterUbuntu 19.044080120160200193.01\nOpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteUbuntu 19.04140K280K420K560K700KSE +/- 321.84, N = 3633177\nOpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Ubuntu 19.0420M40M60M80M100MSE +/- 1474539.43, N = 15935025771. (CXX) g++ options: -O3 -march=native -fopenmp\nOpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5Mode: CPUUbuntu 19.0410K20K30K40K50KSE +/- 166.62, N = 347419


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Jappie Visser hat roerklik De Sneker Pan ophelle by fynder | Omrop Fryslân\n13 aug 2019 - 18:09\nSkipper Jappie Visser fan De Sneker Pan hat tiisdei de roerklik ophelle. Se wiene it ynstrumint ferlern by de SKS-wedstriid op de Snitser Mar en moandei melde Erwin Parmentier fan Hurdegaryp dat er de roerklik fûn hie. Visser hat 'm tiisdei yn ûntfangst nommen.\nErwin Parmentier en Jappie Visser mei de roerklik - Foto: Erwin Parmentier / De Sneker Pan\nDe Sneker Pan wie de roerklik ferlern nei in oanfarring by de lêste wedstriid om it SKS-kampioenskip. Trije dagen wie it fersiersel kwyt. In oprop op Facebook smiet wol in soad reaksjes op, mar noch net de gouden tip.\nBesef nei ferhaal Visser\nMoandei kaam alsnoch it ferlossende wurd: Visser die syn ferhaal by Omrop Fryslân. Dat waard oppikt troch Erwin Parmentier fan Bootcentrum Geertsma. Hy hie freed al wat driuwen sjoen op de Snitser Mar, mar wist doe noch net wat it wie. Pas doe't er Visser op Omrop Fryslân hearde, kaam it besef.\nParmentier naam kontakt op mei Visser en fertelde him dat de roerklik dus terjochte wie. Visser hat tiisdei by Parmentier syn wurk yn Grou west om de klik op te heljen. De Sneker Pan betanket elkenien dy't meitocht en meisocht hat.\nskûtsjesilen SKS Snitser Mar De Sneker Pan Jappie Visser roerklik