Reproducibility Report for ACM SIGMOD 2024 Paper: 'On Efficient Large Sparse Matrix Chain Multiplication'

All major findings of the paper were reproduced. Unfortunately, due to privacy concerns, the authors could not share their code on GitHub.

Authors

Sami Hadouaj (ORCID: https://orcid.org/0009-0004-3407-307X)
Xiaojun Dong (ORCID: https://orcid.org/0000-0003-4828-7066)

Institutions

University of California, Riverside (US)
University of Michigan–Dearborn (US)

Publication Details

Published: 2025-03-21
DOI: https://doi.org/10.1145/3687998.3717039
Primary Topic: Parallel Computing and Optimization Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

Reproducibility Report for ACM SIGMOD 2024 Paper: 'On Efficient Large Sparse Matrix Chain Multiplication'

Sami Hadouaj, Xiaojun Dong

Mar 21, 2025

Parallel Computing and Optimization Techniques

article

Reproducibility Report for ACM SIGMOD 2024 Paper: 'On Efficient Large Sparse Matrix Chain Multiplication'

Sami Hadouaj, Xiaojun Dong

March 21, 2025article en

Abstract

All major findings of the paper were reproduced. Unfortunately, due to privacy concerns, the authors could not share their code on GitHub.

University of California, Riverside (US), University of Michigan–Dearborn (US)

Openalex Percentile: Top 95%

Parallel Computing and Optimization Techniques

DOI Open Access PDF OpenAlex

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Reproducibility Report for ACM SIGMOD 2024 Paper: 'On Efficient Large Sparse Matrix Chain Multiplication' — Sami Hadouaj, Xiaojun Dong · (2025) | TGRS Research Map | TGRS