LSHBloom: Memory-efficient, Extreme-scale Document Deduplication Paper • 2411.04257 • Published Nov 6, 2024
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets Paper • 2403.15953 • Published Mar 23, 2024
Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation Paper • 2304.05430 • Published Apr 11, 2023
A Survey of Techniques for Optimizing Transformer Inference Paper • 2307.07982 • Published Jul 16, 2023
Applications of Machine Learning to Lattice Quantum Field Theory Paper • 2202.05838 • Published Feb 10, 2022 • 1
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies Paper • 2310.04610 • Published Oct 6, 2023 • 1
view post Post 👋 I'm SamI use ML and HPC to accelerate scientific discovery @ Argonne National Laboratory*https://samforeman.mehttps://twitter.com/saforem2https://github.com/saforem2* https://alcf.anl.gov/about/people/sam-foreman 🤗 5 5 + Reply
LeapfrogLayers: A Trainable Framework for Effective Topological Sampling Paper • 2112.01582 • Published Dec 2, 2021
A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators Paper • 2310.04607 • Published Oct 6, 2023
A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators Paper • 2310.04607 • Published Oct 6, 2023
MLMC: Machine Learning Monte Carlo for Lattice Gauge Theory Paper • 2312.08936 • Published Dec 14, 2023