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It is perfect when you can just use more efficient algorithm like\n-when gaussian blur based on convolutions [was replaced][gaussian-blur-changes]\n-by sequential box filters. But a number of such improvements are very limited.\n-It is also very tempting to use more processor unit resources \n-(via parallelization) when they are available. But it is handier just\n-to make things faster on the same resources. And that is where SIMD works better.\n+There are multiple ways to tweak image processing performance.\n+To name a few, such ways can be: utilizing better algorithms, optimizing existing implementations, \n+using more processing power and/or resources. \n+One of the great examples of using a more efficient algorithm is [replacing][gaussian-blur-changes] \n+a convolution-based Gaussian blur with a sequential-box one. \n+Such examples are rather rare, though. It is also known, that certain processes might be optimized \n+by using parallel processing to run the respective routines.\n+But a more practical key to optimizations might be making things work faster \n+using the resources at hand. For instance, SIMD computing might be the case.\n \n-SIMD stands for \"single instruction, multiple data\". This is a way to perform\n-same operations against the huge amount of homogeneous data. \n-Modern CPU have different SIMD instructions sets like\n-MMX, SSE-SSE4, AVX, AVX2, AVX512, NEON.\n+SIMD stands for \"single instruction, multiple data\" and its essence is \n+in performing the same operation on multiple data points simultaneously \n+by using multiple processing elements. \n+Common CPU SIMD instruction sets are MMX, SSE-SSE4, AVX, AVX2, AVX512, NEON.\n \n-Currently, Pillow-SIMD can be [compiled](#installation) with SSE4 (default)\n-and AVX2 support.\n+Currently, Pillow-SIMD can be [compiled](#installation) with SSE4 (default) and AVX2 support.\n \n \n ## Status\n \n+Pillow-SIMD project is production-ready for you to start building SIMD-enabled image processing systems.\n+The project is supported by Uploadcare, a SAAS for cloud-based image storing and processing.\n [![Uploadcare][uploadcare.logo]][uploadcare.com]\n+In fact, Uploadcare itself has been running Pillow-SIMD for about a year now.\n \n-Pillow-SIMD can be used in production. Pillow-SIMD has been operating on\n-[Uploadcare][uploadcare.com] servers for more than 1 year.\n-Uploadcare is SAAS for image storing and processing in the cloud\n-and the main sponsor of Pillow-SIMD project.\n-\n-Currently, following operations are accelerated:\n+The following Uploadcare image operations are currently 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