title: How to apply GoogleColab stronger CPU and more RAM?
body: <p>I use GoogleColab to test data stuctures like chain-hashmap,probe-hashmap,AVL-tree,red-black-tree,splay-tree(written in Python),and I store very large dataset(key-value pairs) with these data stuctures to test some operation running time,its scale just like a small wikipedia,so run these python script will use very much memory(RAM),GoogleColab offers a approximately 12G RAM but not enough for me,these python scripts will use about 20-30G RAM,so when I run python program in GoogleColab,will often raise an exception that"your program run over 12G upper bound",and often restarts.On the other hand,I have some PythonScript to do some recursion algorithm,as is seen to all,recursion algorithm use CPU vety mush(as well as RAM),when I run these algorithm with 20000+ recursion,GoogleColab often fails to run and restart,I knew that GoogleColab uses two cores of Intel-XEON CPU,but how do I apply more cores of CPU from Google?</p>