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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Title: Domain-aware Genetic Algorithms for Hardware and Mapping Optimization for Efficient DNN Acceleration
Committee:
Dr. Tushar Krishna, ECE, Chair, Advisor
Dr. Vivek Sarkar, CoC
Dr. Callie Hao, ECE
Dr. Suvinay Subramanian, Google
Dr. Alexey Tumanov, CoC
Dr. Angshuman Parashar, NVIDIA
Abstract: Many SOTA DNN accelerator designs rely on a human-driven design process which costs huge engineering efforts. Also, it makes it increasingly harder to keep up with the fast innovation of DNN models. In this research, we will present how we leverage ML techniques to help automate some part of the DNN accelerator design process. we will show how we construct the design space of DNN accelerator, how we analyze the pros and cons of different search algorithms for our use-case, and how we develop customized algorithms for our HW and mapping exploration problem.
