Title
The Vision Behind MLPerf: Understanding AI Inference Performance
Abstract
Deep learning has sparked a renaissance in computer systems and architecture. Despite the breakneck pace of innovation, there is a crucial issue concerning the research and industry communities at large: how to enable neutral and useful performance assessment for machine learning (ML) software frameworks, ML hardware accelerators, and ML systems comprising both the software stack and the hardware....
Year
DOI
Venue
2021
10.1109/MM.2021.3066343
IEEE Micro
Keywords
DocType
Volume
Benchmark testing,Task analysis,Software,Hardware,Measurement,Object detection,Image segmentation
Journal
41
Issue
ISSN
Citations 
3
0272-1732
0
PageRank 
References 
Authors
0.34
0
20