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.

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 ...

Dask, a Python library for parallel computing, mimics the upstream Python APIs and works with CUDA libraries for parallel computation. Think of Dask as Spark for Python.

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 ...

The Copperhead compiler suite, a Python-based tool, unlocks the full potential of the Gemini APU's impressive capabilities, including its associative, massively parallel, non-Von-Neumann bit ...