Best Paper Award at MICRO’22

Congratulations to our PhD student Rahul Bera and co-authors for their Best Paper Award at MICRO’22 for their work “Hermes: Accelerating Long-Latency Load Requests via Perceptron-Based Off-Chip Load Prediction”!

Rahul Bera, Konstantinos Kanellopoulos, Shankar Balachandran, David Novo, Ataberk Olgun, Mohammad Sadrosadati, Onur Mutlu,  Hermes: Accelerating Long-Latency Load Requests via Perceptron-Based Off-Chip Load Prediction, 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), October 2022.

Paper on arXiv: https://arxiv.org/abs/2209.00188
Fully-evaluated artifact: https://github.com/CMU-SAFARI/Hermes

What is Hermes? 
The key idea behind Hermes is to: (1) accurately predict which load requests might go to off-chip, and (2) speculatively start fetching the data required by the predicted off-chip loads directly from the main memory in parallel to the cache accesses. Hermes proposes a lightweight, perceptron-based off-chip predictor that identifies off-chip load requests using multiple disparate program features. The predictor is implemented using only tables and simple arithmetic operations like increment and decrement.

Twitter post: https://twitter.com/SAFARI_ETH_CMU/status/1577976284180774918
LinkedIn post: https://www.linkedin.com/company/14784498/


Posted in Awards, Code, Conference, Papers.