296 citations · 963 across the 52 of their papers we have counts for
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cs.LG2023
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors
Chengming Zhang, Baixi Sun, Xiaodong Yu +5
Transformer models have achieved remarkable success in various machine learning tasks but suffer from high computational complexity and resource requirements. The quadratic complex…
cs.LG2023★ 15 cited
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
Jinqi Xiao, Chengming Zhang, Yu Gong +5
Low-rank compression is an important model compression strategy for obtaining compact neural network models. In general, because the rank values directly determine the model comple…
cs.LG2021★ 1 cited
Exploring Autoencoder-based Error-bounded Compression for Scientific Data
Jinyang Liu, Sheng Di, Kai Zhao +5
Error-bounded lossy compression is becoming an indispensable technique for the success of today's scientific projects with vast volumes of data produced during simulations or instr…