The inspiration for this column comes not from the epic 1999 film The Matrix, as the title may suggest, but from an episode of Sean Carroll’s Mindscape podcast that I listened to over the summer. The ...

Abstract: This paper investigates the impact of loop unrolling on CUDA matrix multiplication operations’ performance across NVIDIA GPUs. We benchmarked both basic and unrolled kernels with varying ...

A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...

The idea isn't novel, but presents major challenges. Tensordyne thinks it has solved them, and promises massive speed and ...

Low Computational Efficiency: The standard implementation breaks down the attention computation into multiple independent steps (such as matrix multiplication and softmax), each requiring frequent ...

Cornami delivers breakthrough performance for scalable computing, enabling advanced encryption technologies like FHE to ...

It is well known that large language models (LLMs) often exhibit inconsistencies in their inference results, leading to confusion for users when they ask multiple questions. The research from ...

Alkaloids, phenols, terpenoids, and oligosaccharides are natural chemicals that can inhibit tumor’s vascular network and ...

This week at the AI Infra Summit, the RISC-V chip designer revealed its second generation of Intelligence cores, including ...

Approximately 14,000 employees of the Himachal Pradesh government will be impacted by the newly notified HP Civil Services ...

T ucker Carlson wanted to see the “angst-filled” Sam Altman: He wanted to hear him admit he was tormented by the power he ...

Broadcom's custom silicon partnerships with major hyperscalers, including a potential deal with OpenAI, position it for ...