Modern hardware is multi-core. It is crucial for Python to provide high-performance parallelism. This talk will expose to both data-scientists and library developers the current state of affairs and ...

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

CSE-392-Parallel-Algorithms-for-Scientific-Computing-Project---Parallel-Support-Vector-Machines Investigating runtimes for parallel SVMs by implementing randomized SVD and parallel mat-mat ...

According to a chapter dedicated to the topic in the publication, one way of achieving Python parallelism is through NumExpr, “in which a symbolic evaluator transforms numerical Python expressions ...

Parallel computing with Python .. questions:: - What is parallel computing? - What are the different parallelization mechanisms for Python? - How to implement parallel algorithms in Python code? - How ...

AUSTIN, Texas, June 7, 2022 /PRNewswire/ -- Dask, an open-source Python-native parallel computing library, has announced its latest rebrand. Dask's rebranding includes a new visual style ...

Abstract: The Support Vector Machine (SVM) is a popular classification algorithm and is known for its generalization properties in machine learning. In this paper, we propose parallel implementation ...