Archive of posts tagged: Benchmarks
The QuArch Experiment: Crowdsourcing a Machine Learning Dataset for Computer Architecture
Introduction The rise of large language models (LLMs) and generative artificial intelligence (GenAI) presents new opportunities to build innovative tools and is already enabling revolutionary AI-based tools in various domains. However, a significant gap remains in the...
Architecture 2.0 Workshop: How Machine Learning Will Redefine Computer Architecture and Systems
Benchmarks, Competitions, Datasets, Leaderboards, Machine Learning, ML4Sys, MLSys
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...Subscribe
