The saying “round pegs do not fit square holes” persists because it captures a deep engineering reality: inefficiency most ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Secret trick to solve multiplication 🧮 !! Russia issues warning over US missiles in Japan Guilty as charged: Pet rat melts hearts after being scolded Norwegian ski jumpers suspended for illegal suit ...

Abstract: Efficiently synthesizing an entire application that consists of multiple algorithms for hardware implementation is a very difficult and unsolved problem. One of the main challenges is the ...

Abstract: Matrix-matrix multiplication is one of the most important kernel in linear algebra operations with a multitude of applications in scientific and engineering computing. Sparse matrix ...

This project is intended for research purposes only. Use it at your own risk and discretion. Triton is a language and compiler for writing highly efficient ML primitives, one of the most common ...

Sparse general matrix-matrix multiplication (SpGEMM) is fundamental to numerous scientific applications. Traditional hash-based approaches fail to strike a trade-off between reducing hash collisions ...

AMD is preparing a significant redesign of its CPU architecture with the upcoming Zen 6 generation, signaling a clear break ...