Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 317

The DOI matches its Crossref record.

S12---The HPC Challenge (HPCC) benchmark suite

Luszczek, Piotr R, Bailey, David H, Dongarra, Jack J, Kepner, Jeremy, Lucas, Robert F, Rabenseifner, Rolf, Takahashi, Daisuke·2006·Proceedings of the 2006 ACM/IEEE conference on Supercomputing - SC '06

Abstract

In 2003, the DARPA's High Productivity Computing Systems released the HPCC suite. It examines the performance of HPC architectures using kernels with various memory access patterns of well known computational kernels. Consequently, HPCC results bound the performance of real applications as a function of memory access characteristics and define performance boundaries of HPC architectures. The suite was intended to augment the TOP500 list and by now the results are publicly available for 6 out of 10 of the world's fastest computers. Implementations exist in most of the major high-end programming languages and environments, accompanied by countless optimization efforts. The increased publicity enjoyed by HPCC doesn't necessarily translate into deeper understanding of the performance issues that HPCC benchmarks. And so this tutorial will introduce attendees to HPCC, provide tools to examine differences in HPC architectures, and give hands-on training that will hopefully lead to better understanding of parallel environments.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/1188455.1188677

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 317

Metadata

Authors
Luszczek, P. R., Bailey, D. H., Dongarra, J. J., Kepner, J., Lucas, R. F., Rabenseifner, R., & Takahashi, D.
Venue
Proceedings of the 2006 ACM/IEEE conference on Supercomputing - SC '06
Publisher
ACM Press
Published
2006
Pages
213
OpenAlex
W2099911225
Cited by
317
References
0
Type
conference abstract
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: S12---The HPC Challenge (HPCC) benchmark suite. https://app.cochat.ai/papers/10.1145/1188455.1188677
The paper
Luszczek, P. R., Bailey, D. H., Dongarra, J. J., Kepner, J., Lucas, R. F., Rabenseifner, R., & Takahashi, D. (2006). S12---The HPC Challenge (HPCC) benchmark suite. Proceedings of the 2006 ACM/IEEE conference on Supercomputing - SC '06. https://doi.org/10.1145/1188455.1188677

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.