ML-Based Data Prefetching Competition

ML-Based Data Prefetching Competition
(Co-Located with MLArchSys workshop @ISCA 2021)

Submissions Due: May 16, 2021

The ML For Computer Architecture and Systems Workshop invites submission for a new “ML Prefetching Competition.” Contestants will be provided a set of training traces to build their best prefetching algorithms, and the submissions will be evaluated using a common methodology on a set of undisclosed traces (details below). Given the context of the workshop, we encourage submissions that use machine learning based models, but this is not mandatory. Submissions will be chosen to appear in the workshop based on their performance on the undisclosed test set and their novelty.

The goal of the competition is to explore ideas from machine learning that can advance the state-of-the-art in data prefetching. Since evaluating machine learning models for data prefetching presents many challenges, the organizers will provide a common evaluation framework, including traces for several memory-intensive benchmarks. The competition will not generate practical hardware data prefetchers (see disclaimer below), but we hope that it will generate new ideas on how to develop high-performance next-generation data prefetchers.

Traces/Simulator Release: March 4, 2021

Submission Deadline: May 16, 2021

Workshop: June 17-19, 2021