What is Google JAX? NumPy on accelerators

Among the innovations that power the popular open source TensorFlow machine learning platform are automatic differentiation (Autograd) and the XLA (Accelerated Linear Algebra) optimizing compiler for deep learning. Google JAX is another project that brings together these two technologies, and it offers considerable benefits for speed and performance. When run on GPUs or TPUs, JAX … Read more

CUDA, SYCL, Codeplay, and oneAPI — Accelerators for Everyone | by TonyM | Jul, 2022

CUDA and SYCL — A functional test walk through Photo by Pakata Goh on Unsplash There is an ever-growing number of accelerators in the world. This raises the question of how various ecosystems will evolve to allow programmers to leverage these accelerators. At higher levels of abstraction, domain-specific layers like Tensorflow and PyTorch provide great … Read more