η-LSTM: Co-Designing Highly-Efficient Large LSTM Training via Exploiting Memory-Saving and Architectural Design Opportunities
Published in International Symposium on Computer Architecture (ISCA), 2021
Primary contributor to the implementation and evaluation (resource/energy/latency estimation) of the proposed hardware accelerator. Acted as the primary designer of the Omni-PE (Processing Element).