Memory requirements are the most obvious advantage of reducing the complexity of a model's internal weights. The BitNet b1.58 ...

Abstract: We investigate the performance of algorithms for sparse tensor-sparse tensor multiplication (SpGETT). This operation, also called sparse tensor contraction, is a higher order analogue of the ...

He also developed an improvement on the laser method for designing fast matrix multiplication algorithms that incorporates more asymmetry in the analysis. Zhou is advised by CSD faculty members ...

ParserNG is a powerful , fast math expression parser that parses and evaluates math expressions, does differential calculus(symbolic) evaluations, numerical ...

Welcome back to The Prompt, Aravind Srinivas, co-founder and CEO of Perplexity, during TechCrunch Disrupt in San Francisco, California, US, on Wednesday, Oct. 30, 2024. Distributed Spectrum, a ...

2024.04 🔥🔥🔥[Open-Sora] Open-Sora: Democratizing Efficient Video Production for All(@hpcaitech) [docs] [Open-Sora] ⭐️⭐️ 2024.04 🔥🔥🔥[Open-Sora Plan] Open-Sora Plan: This project aim to reproduce ...

Abstract: A bearing fault diagnosis method based on the sparse weighting Hoyer indicator (SWHI ... analysis of the signal show that compared with Autogram and other similar algorithms, the SWHIgram ...