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europar2020.zip (10.65 MB)

Artifact and instructions to generate experimental results for Euro-Par proceeding 2020 paper: Skipping Non-essential Instructions Makes Data-dependence Profiling Faster

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posted on 2020-07-03, 15:05 authored by Nicolas Morew, Mohammad Norouzi, Ali Jannesari, Felix Wolf
This artifact is concerned with Section 4 (Evaluation) of
the Paper "Skipping Non-essential Instructions Makes Data-dependence Profiling Faster" by Nicolas Morew, Mohammad Norouzi, Ali Jannesari and Felix Wolf. The artifact consists of
the llvm pass to build binaries of the two data-dependence profilers: DiscoPoP and the hybrid approach which is presented in Section 3 of the paper.

Also, it contains the benchmarks which were used to produce the results presented in the paper. Please find a description of the artifact in the Overview document (word and .pdf formats are provided).

This artifact is provided as a single .zip archive. Scripts are provided in bash shell .sh format and .py format. Additional copyright, source and license details are provided in the 'license' file.

Funding

This work was funded by the Hessian LOEWE initiative within the Software-Factory 4.0 project

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    European Conference on Parallel Processing

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