From f3cd9819dac3ce40a40cbb90747f0f53d2ce7ee4 Mon Sep 17 00:00:00 2001 From: Rahul Bera Date: Wed, 12 Oct 2022 15:18:25 +0200 Subject: [PATCH] Minor changes in README --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index f026655..4731d95 100644 --- a/README.md +++ b/README.md @@ -47,9 +47,9 @@ 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. -Hermes was presented at MICRO 2022 +Hermes was presented at MICRO 2022. -> _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", In Proceedings of the 55th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022_ +> _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](https://arxiv.org/pdf/2209.00188.pdf)", In Proceedings of the 55th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022_ ## About The Framework