by Reetuparna Das and Tushar Krishna on Sep 17, 2018 | Tags: Accelerators, Machine Learning, Specialization
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...
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by Vijay Janapa Reddi on Sep 10, 2018 | Tags: Accelerators, Hardware, Mobile, Specialization
The Moore’s Law engine that we have come to depend upon is sputtering. It is encouraging architects to innovate in alternative ways to keep the industry moving forward. The most widely accepted approach is using domain specific architectures, and as such, in recent...
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by Yuan Xie on Jul 12, 2018 | Tags: Accelerators, Emerging Technology, Machine Learning, Memory, Near Data Computing, Specialization
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...
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by Cliff Young on May 3, 2018 | Tags: Benchmarks, Machine Learning, Measurements, Specialization
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...
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by Yuan Xie on Apr 26, 2018 | Tags: Accelerators, Architecture, Emerging Technology, Hardware, Machine Learning, Specialization, Systems
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,...
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