AMD and Intel have teamed up to create a shared AI computing standard that could make future PCs and laptops faster at ...

A supercomputer in Shenzhen was declared the world’s fastest. It uses only standard microprocessors and not the ...

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

For years, DIY enthusiasts viewed the sub-seven-hundred-dollar desktop as the ultimate gateway into PC gaming. You could carefully select an entry-level processor, pair it with an affordable graphics ...

Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There ...

British mathematician Jack Good coined the term “intelligence explosion” 61 years ago to describe what would happen when an intelligent machine entered a runaway cycle of fully automated ...

Forgive me for starting with a cliché, a piece of finance jargon that has recently slipped into the tech lexicon, but I’m afraid I must talk about “moats.” Popularized decades ago by Warren Buffett to ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable graphics processing units (GPUs) directly led to the development of GPU ...

On Wednesday, Meta unveiled four new artificial intelligence chips: The MTIA 300, MTIA 400, MTIA 450, and the MTIA 500. The 300 is optimized for Meta's core ranking & recommendation (R&R) workloads, ...

Meta Platforms introduced its new AI training and inference chips last week. Meta collaborated with Broadcom in the effort, with Broadcom saying customers are increasingly turning to specialized XPUs ...

Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...

Abstract: Sparse matrix-vector multiplication (SpMV) is one of the most important kernels for many applications. In this paper, we study the implementation of SpMV for scale-free matrices on many-core ...