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 ...

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 ...

A breakthrough development in photonic-electronic hardware could significantly boost processing power for AI and machine learning applications. The approach uses multiple radio frequencies to encode ...

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 ...

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.

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example), sequential ...

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 ...