Architecture 2.0 Workshop: How Machine Learning Will Redefine Computer Architecture and Systems
Benchmarks, Competitions, Datasets, Leaderboards, Machine Learning, ML4Sys, MLSys
Archive of posts tagged: Benchmarks
Architecture 2.0: Why Computer Architects Need a Data-Centric AI Gymnasium
Machine learning driven computer architecture tools and methods have the potential to drastically shape the future of computer architecture. The question is: how can we lay the foundation to effectively usher in this era? In this post, we delve into the transformative...
Distbench: A Flexible Network Benchmarking Tool
Networking performance is critical to distributed applications, and there are always efforts underway to improve the performance of datacenter network communication stacks. These efforts take a variety of approaches. For example, they may result in either new hardware...
An Academic’s Attempt to Clear the Fog of the Machine Learning Accelerator War
At its core, all engineering is science optimized (or perverted) by economics. As academics in computer science and engineering, we have a symbiotic relationship with industry. Still, it is often necessary for us to peel back the marketing noise and understand...
From Heavy Metal to Irrational Exuberance
The focus of most published research in architecture is on applications implemented in high-performance, “close-to-the-metal” languages essentially developed before computers got fast. These, let’s call them metal languages, include FORTRAN...Subscribe
