FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning

16 July 2022

Papers citing "FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning"

5 / 5 papers shown

Title
Scalable Differential Privacy Mechanisms for Real-Time Machine Learning Applications Jessica Smith David Williams Emily Brown 26 0 0 16 Sep 2024
End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs Javier Campos Zhen Dong Javier Mauricio Duarte A. Gholami Michael W. Mahoney Jovan Mitrevski Nhan Tran MQ 24 3 0 13 Apr 2023
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems S. Farrell M. Emani J. Balma L. Drescher Aleksandr Drozd ... Akihiro Tabuchi V. Vishwanath M. Wahib Masafumi Yamazaki Junqi Yin VLM 32 35 0 21 Oct 2021
The Tracking Machine Learning challenge : Throughput phase S. Amrouche L. Basara P. Calafiura D. Emeliyanov Victor Estrade ... E. Moyse D. Rousseau A. Salzburger Andrey Ustyuzhanin J. Vlimant 118 31 0 03 May 2021
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 75 386 0 16 Apr 2018