AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...

Most notably, the chipmaker announced a compiler source code enabling software developers to add new languages and architecture support to Nvidia’s CUDA parallel programming model. The new ...

One size does not fit all, and it never will. Parallel programming looks to level the playing field by leveraging multicore hardware. It was easy to program applications in the days when one chip, one ...

http://chapel.cray.com/In this this video from the 2016 Argonne Training Program on Extreme-Scale Computing, Brad Chamberlain from Cray presents: Chapel ...

High Performance Computing (HPC) and parallel programming techniques underpin many of today’s most demanding computational tasks, from complex scientific simulations to data-intensive analytics. This ...

The world's fastest supercomputer can now perform 200,000 trillion calculations per second, and several companies and government agencies around the world are competing to build a machine that will ...

In high performance computing, machine learning, and a growing set of other application areas, accelerated, heterogeneous systems are becoming the norm. With that state come several parallel ...

Nvidia is known for its high-quality GPUs. Originally used for gaming, GPUs later caught on with crypto miners because of ...

This week is the eighth annual International Workshop on OpenCL, SYCL, Vulkan, and SPIR-V, and the event is available online for the very first time in its history thanks to the coronavirus pandemic.