CMU-SAFARI / Pythia

A customizable hardware prefetching framework using online reinforcement learning as described in the MICRO 2021 paper by Bera et al. (https://arxiv.org/pdf/2109.12021.pdf).

Home Page:https://arxiv.org/pdf/2109.12021.pdf

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

How to calculate cache miss percentage?

faradawn opened this issue · comments

Hi,

I tried the Cassandra trace on 1 core and rolled up the statistics:

Screenshot 2023-06-12 at 8 23 12 AM
  1. May I ask how to calculate the LLC_total_miss percentage?
  2. Why does "nopref", which I assume is "no prefetcher", has the lowest miss rate?
  3. In the first five lines, why pythisa has the highest IPC (instructions per cycle), even though it has more cache misses than "nopref"?

Thanks in advance!