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Parallel Programming in R and Python

Include usage of Supercomputers & Clusters, CPU and GPU optimization/acceleration, Parallel Computing (including Massively Parallel Computing), Distributed Computing, usage of: OpenMP (Open Multi-Processing) API, Message Passing Interface (MPI), Compute Unified Device Architecture (CUDA), OpenCL, framework, a variety of highly concurrent, multithreaded applications and single-process, multithreaded systems, and a lot of other different ways of optimizing codes and parallel programming
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Eli
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#1

Parallel computing is a technique of utilizing multiple processors to get the task done. Parallel computing is different from multiprocessing in the sense that, the multiprocessing is a technique of performing the multiple tasks at the same time which may either be achieved using single processor or multiple.



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