Quick background- I have a subsurface fluid flow simulation tool that I wrote several years ago. From it, I started up a consultancy company, which is finally paying the bills. The algorithms lend ...

TornadoVM, an open-source plug-in for OpenJDK and GraalVM that compiles and offloads Java code to accelerators such as GPUs, ...

Although the performance and efficiency gain of using accelerators, including GPUs, can be quite staggering, programming for boosted systems still presents some challenges, despite the large amount of ...

This is my first post and I am looking for some information. I am going to be using Cuda or OpenCL for a compute project, and was wondering if it would be better to go down the Nvidia/Cuda route or ...

OpenCL is a computational framework designed to take advantage of multicore platforms. Unsurprisingly, there are a few myths surrounding it. This file type includes high resolution graphics and ...

Nvidia Corporation's parallel computing platform, CUDA, is a key factor in the company's competitive advantage, with exponential growth showcased at COMPUTEX 2023, boasting over four million ...

Among the many challenges ahead for programming in the exascale era is the portability and performance of codes on heterogeneous machines. Since the future plan for architectures includes new memory ...

Phil Pratt-Szeliga, an instructor at Syracuse University, has released the source code for the Rootbeer compiler - a tool he and colleagues Jim Fawcett and Roy Welch claim makes it significantly ...