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Releases: PolyArch/SegFold-AE

SegFold Artifact v1.0.2 (AE Submission)

07 Apr 11:46
@JJxinruiwu JJxinruiwu
v1.0.2
bb0bacd

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SegFold Artifact v1.0.2 (AE Submission)

This release contains the artifact for the SegFold paper, including the full implementation, benchmarks, and scripts required to reproduce the experimental results.

Contents

  • Cycle-accurate simulator (C++)
  • SuiteSparse benchmark datasets (download script provided)
  • Scripts to reproduce Figures 8–12 and Table IV
  • Hardware synthesis reports (RTL)
  • Expected results for verification

Reproducibility

All main results reported in the paper can be reproduced using the provided scripts. A full reproduction can be launched with:

./scripts/run_all.sh

The simulator is deterministic, and generated outputs are expected to match the reference results in expected_results/.

Requirements

  • Linux (tested on Ubuntu 22.04+)
  • GCC 10+, CMake 3.15+
  • Python 3.8+ (numpy, scipy, matplotlib, pandas, pyyaml)

No proprietary software or specialized hardware is required.

Notes

This release corresponds to the version submitted for artifact evaluation.

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SegFold Artifact v1.0.1 (AE Submission)

07 Apr 10:57
@JJxinruiwu JJxinruiwu
v1.0.1
b04213f
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SegFold Artifact v1.0.1 (AE Submission)

SegFold Artifact v1.0.1 (AE Submission)

This release contains the artifact for the SegFold paper, including the full implementation, benchmarks, and scripts required to reproduce the experimental results.

Contents

  • Cycle-accurate simulator (C++)
  • SuiteSparse benchmark datasets (download script provided)
  • Scripts to reproduce Figures 8–12 and Table IV
  • Hardware synthesis reports (RTL)
  • Expected results for verification

Reproducibility

All main results reported in the paper can be reproduced using the provided scripts. A full reproduction can be launched with:

./scripts/run_all.sh

The simulator is deterministic, and generated outputs are expected to match the reference results in expected_results/.

Requirements

  • Linux (tested on Ubuntu 22.04+)
  • GCC 10+, CMake 3.15+
  • Python 3.8+ (numpy, scipy, matplotlib, pandas, pyyaml)

No proprietary software or specialized hardware is required.

Notes

This release corresponds to the version submitted for artifact evaluation.

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