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

By institutionalising muhūrta s within mathematics, the UGC is effectively telling students that astrological determinism is as valid as algebraic reasoning. This is not just bad pedagogy — it is ...

While it is early days, and innovation is important, hyperscalers cannot afford to keep throwing money away forever. They need to work out how AI will earn money, and that relies on inference. For ...

Abstract: With the rapid advent of generative models, efficiently deploying these models on specialized hardware has become critical. Tensor Processing Units (TPUs) are designed to accelerate AI ...

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 ...

QiMeng-GEMM is an innovative approach to automatically generate high-performance matrix multiplication (GEMM) code using LLMs. This codebase provides a comprehensive solution for efficiently computing ...

Cybersecurity researchers have discovered two new malicious packages on the npm registry that make use of smart contracts for the Ethereum blockchain to carry out malicious actions on compromised ...

ThunderKittens is a framework to make it easy to write fast deep learning kernels in CUDA (and, soon, MPS, and eventually ROCm and others, too!) ThunderKittens is built around three key principles: ...