124 citations
- Intel (United States)US7 papers
- Georgia Institute of TechnologyUS5 papers
- ETH ZurichCH2 papers
- Indian Institute of Technology KharagpurIN2 papers
- Indian Institute of Technology MadrasIN2 papers
- Max Planck Institute for AstrophysicsDE2 papers
- Menlo SchoolUS2 papers
- Robert Bosch (India)IN2 papers
- Arizona State UniversityUS1 paper
- Astronomical Observatory of RomeIT1 paper
- Atlanta Technical CollegeUS1 paper
- California Southern UniversityUS1 paper
Showing 2023Show all
2 papers · 1 filter
cs.AR2023★ 22 cited
A Quantitative Analysis and Guidelines of Data Streaming Accelerator in Modern Intel Xeon Scalable Processors
Reese Kuper, Ipoom Jeong, Yifan Yuan +4
As semiconductor power density is no longer constant with the technology process scaling down, modern CPUs are integrating capable data accelerators on chip, aiming to improve perf…
cs.DC2023★ 78 cited
ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale
William Won, Taekyung Heo, Saeed Rashidi +3
As deep learning models and input data are scaling at an unprecedented rate, it is inevitable to move towards distributed training platforms to fit the model and increase training…