Abstract: In distributed matrix multiplication, stragglers present a significant challenge. Coding techniques are often employed to mitigate this issue; however, their effectiveness is typically ...

CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...

To set up Python environment, install the libraries specified in pyproject.toml. If you are Rye user, you can run rye sync to set up the environment. We developed a C++ extension for the event data ...

Abstract: Code-based Distributed Matrix Multiplication (DMM) has been widely studied as an effective method for large-scale matrix computations in distributed systems. Two central challenges in ...

NEW YORK, NY / ACCESS Newswire / December 11, 2025 / Some breakthroughs feel inevitable in hindsight. SMX's (NASDAQ:SMX) latest industrial pilot is one of those moments. The kind of shift that forces ...