From these low-level interfaces emerged higher-level parallel processing libraries, such as concurrent.futures, joblib and loky (used by dask and scikit-learn) These libraries make it easy for Python ...

The latest annual Python Developers Survey took the pulse of over 30,000 developers to see what makes the community tick in ...

Bodo Inc. today announced a collaboration with Xilinx, Inc., including a Xilinx investment in Bodo, to further develop parallel computing technology t ...

The head node is connected to a workstation via USB 1.1 allowing the system to be controlled with a Python script. The cluster is configured to process an embarrassingly parallel image convolution.

Parallel processing is an idea that will be familiar to most readers. Few of you will not be reading this on a device with only one processor core, and quite a few of you will have experimented wit… ...

Quadric’s first-generation q16 processor integrates a 16 x 16 array of general-purpose Vortex Cores working in parallel to process computationally demanding algorithms.