1k citations
- Xilinx (United States)US5 papers
- Norwegian University of Science and TechnologyNO4 papers
- Fermi National Accelerator LaboratoryUS2 papers
- Northwestern UniversityUS2 papers
- The University of SydneyAU2 papers
- University of California, BerkeleyUS2 papers
- University of California San DiegoUS2 papers
- Association for Computing MachineryUS1 paper
- Birla Institute of Technology and Science, PilaniIN1 paper
- Cerebras Systems (United States)1 paper
- Coburg University of Applied SciencesDE1 paper
- Columbia UniversityUS1 paper
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2021★ 77 cited
Applications and Techniques for Fast Machine Learning in Science
Allison McCarn Deiana, Nhan Tran, Joshua Agar +84
In this community review report, we discuss applications and techniques for fast machine learning (ML) in science -- the concept of integrating power ML methods into the real-time…
cs.LG2021★ 51 cited
Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference
Benjamin Hawks, Javier Duarte, Nicholas J. Fraser +3
Efficient machine learning implementations optimized for inference in hardware have wide-ranging benefits, depending on the application, from lower inference latency to higher data…