Archive of posts tagged: Machine Learning
DNN Accelerator Architecture – SIMD or Systolic?
While the concept of hardware acceleration has been around for a while, DNN accelerators are perhaps the first to see the light of commercial adoption due to the AI/ML wave. Giant software corporations, veteran hardware companies, and a plethora of start-ups have...
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,...Subscribe
