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Session

Research Manuscript: When They Go High - We Go Low (in Computation)
Event TypeResearch Manuscript
Virtual Programs
Presented In-Person
Keywords
Approximate Computing for AI/ML
Topics
Design
TimeTuesday, December 7th3:30pm - 5:00pm PST
Location3014
DescriptionLow computational complexity improves hardware efficiency. To that end, this session reports cutting-edge developments in the domain of Approximate Computing for AI Hardware-Software codesign. Along with novel algorithmic techniques addressing pruning and reduced precision, the session dives deeper into cross-layer optimization and approximate arithmetic for different types of deep neural network accelerators ranging from embedded FPGA systems to in-memory computing.