The best parallel processing libraries for Python. Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.; Dask: Parallelizes Python data science ...

Intel tried to push back at coverage of a recently published paper that found its Core i7 processors couldn’t match the parallel processing performance of an Nvidia GPU, saying its rival took ...

latest Intel® Xeon® Scalable processors, Intel Parallel Studio XE 2020 gives developers the ability to deliver fast, scalable, reliable parallel code with less effort. Recompiling with the latest ...