Modern compute-heavy projects place demands on infrastructure that standard servers cannot satisfy. Artificial intelligence ...

Lawrence Livermore National Laboratory has long been one of the world’s largest consumers of supercomputing capacity. With computing power of more than 200 petaflops, or 200 billion floating-point ...

LLVM, the open source compiler framework that powers everything from Mozilla’s Rust language to Apple’s Swift, emerges in yet another significant role: an enabler of code deployment systems that ...

Thinking about AI and how it’s changing everything? It’s a big topic, and a lot of that change comes down to the hardware ...

Artistic rendering of a photonic chip with both light and RF frequency encoding data. Image credit: B.Dong / University of Oxford. A breakthrough development in photonic-electronic hardware could ...

Programming parallel processors isn't easy, especially when the number of processing elements is large. No single technique applies to all situations. But in its Storm-1 architecture, Stream ...

PC components explained: learn what each part does, their functions, and how CPU, GPU, storage, and cooling impact performance and longevity.

As demand for speed and data processing explodes, GPUs are becoming essential for unlocking the potential of next-generation technologies like AI and edge computing. Graphics processing units (GPUs) ...

Brain-inspired Spiking Neural Networks (SNN) and the parallel hardware necessary to exploit their full potential have promising features for robotic application. “Animal brains still outperform even ...