Modern computing has many foundational building blocks, including central processing units (CPUs), graphics processing units (GPUs) and data processing units (DPUs). However, what almost all modern ...

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

In the ever-expanding realm of data processing and analytics, two heavyweight contenders − massively parallel processing (MPP) and big data − have been vying for dominance. Each brings its own set of ...

Multi-core processors theoretically can run many threads of code in parallel, but some categories of operation currently bog down attempts to raise overall performance by parallelizing computing. Is ...

Speaking of a programming language used for parallel computing using a GPU, Python is commonly used for research on machine learning, but you may want to use the GPU in a JavaScript web application.

Apple’s recently announced M3 and A17 Pro chips feature several significant improvements to parallel processing, which results in major performance gains for apps and games that utilize the Metal API.

A recent report found the Core i7 couldn't match the parallel processing performance of an Nvidia GPU, but Intel says rival took the findings out of context Intel tried to push back at coverage of a ...