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Genesys: Automatically Generating Representative Training Sets for Predictive Benchmarking

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First seen 6/13/2026

Last seen 6/13/2026

Evidence 5 chunks

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NEIGHBORHOOD

9 nodes · 11 edges

graph · Genesys: Automatically Generating Representative Training Sets for Predictive Benchmarking · depth=1

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RELATIONSHIPS

8 connections

Genesys introduces → 100% 2e evidence

The paper proposes and introduces the Genesys automatic workload generation framework.

SPEC CPU2006 uses → 100% 2e evidence

The paper uses SPEC CPU2006 benchmarks as the REAL training set baseline.

MediaBench uses → 100% 2e evidence

The paper uses MediaBench benchmarks as part of the REAL training set baseline.

TPC-H uses → 100% 2e evidence

The paper uses TPC-H queries as part of the REAL training set baseline.

The University of Texas at Austin published by → 100% 1e evidence

The paper is affiliated with The University of Texas at Austin.

Reena Panda authored by → 100% 1e evidence

Reena Panda is listed as an author of the paper.

Lizy K. John authored by → 100% 1e evidence

Lizy K. John is listed as an author of the paper.

Andreas Gerstlauer authored by → 100% 1e evidence

Andreas Gerstlauer is listed as an author of the paper.