Archive of posts tagged: Machine Learning
Intelligent memory architecture with new memory technologies
A previous blog titled “Blurring the lines between memory and compute” by R. Das was a nice summary of the history and the recent trends on addressing the memory wall challenges with process-in-memory (PIM) ideas. This blog would like to further highlight...
Why Machine Learning Needs Benchmarks
It’s a marvelous time in computer systems. For me, working in Deep Learning feels like living through a scientific revolution. Kuhn described this kind of change in his classic book, where a new paradigm takes hold, causing entire fields to change their standard...
A Brief Guide of xPU for AI Accelerators
In the workshop on Inter-Disciplinary Research Challenges in Computer Systems (Grand Challenges) co-located with ASPLOS 2018, Dr. Hillery Hunter from IBM and I co-organized a panel discussion on “Augmenting Human Abilities/AI”. During the discussion,...
SIGARCH Visioning Series: Trends in Machine Learning (Videos Available)
We are pleased to announce the creation of the ACM SIGARCH YouTube channel with recorded videos from the first workshop in the Visioning Series, the Workshop on Trends in Machine Learning co-held with ISCA 2017. The Visioning Series was launched this year to catalyze...Subscribe
