Data Artifact: Rebasing Microarchitectural Research with Industry Traces
- Feliu, Josue 1
- Perais, Arthur 2
- Jiménez, Daniel A. 3
- Ros, Alberto 4
-
1
Universidad Politécnica de Valencia
info
- 2 Univ. Grenoble Alpes, CNRS, Grenoble INP, TIMA
-
3
Texas A&M University
info
-
4
Universidad de Murcia
info
Editor: Zenodo
Año de publicación: 2023
Tipo: Dataset
Resumen
Data Artifact of the paper "Rebasing Microarchitectural Research with Industry Traces", published at the 2023 IEEE International Symposium on Workload Characterization. It includes the original CVP-1 traces used in the paper. Note: the improved converted traces used in the paper are available at https://doi.org/10.5281/zenodo.10199624. Abstract: Microarchitecture research relies on performance models with various degrees of accuracy and speed. In the past few years, one such model, ChampSim, has started to gain significant traction by coupling ease of use with a reasonable level of detail and simulation speed. At the same time, datacenter class workloads, which are not trivial to set up and benchmark, have become easier to study via the release of hundreds of industry traces following the first Championship Value Prediction (CVP-1) in 2018. A tool was quickly created to port the CVP-1 traces to the ChampSim format, which, as a result, have been used in many recent works. We revisit this conversion tool and find that several key aspects of the CVP-1 traces are not preserved by the conversion. We therefore propose an improved converter that addresses most conversion issues as well as patches known limitations of the CVP-1 traces themselves. We evaluate the impact of our changes on two commits of ChampSim, with one used for the first Instruction Championship Prefetching (IPC-1) in 2020. We find that the performance variation stemming from higher accuracy conversion is significant.