extended-abstract

Reproducibility Report for the Paper: Follow the Leader: Alternating CPU/GPU Computations in PDES

Author:

Omar InversoAuthors Info & Claims

SIGSIM-PADS '24: Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

Pages 135 - 140

https://doi.org/10.1145/3615979.3665109

Published: 24 June 2024 Publication History

Get Access

Abstract

The paper presents a novel approach to combine CPU- and GPU-based executions for the simulation of discrete events, thus allowing to leverage the performance gains of modern GPUs. The main element of novelty is in that the computational workload is assigned dynamically (rather than statically) to the available hardware resources. The approach is shown to be beneficial w.r.t. a completely static approach. The experimental evaluation confirms such benefits on different hardware.

It would be advisable to assign the Available badge due to the availability of the artefact in question on a permanent repository, and the Functional and Results Reproduced badges as the artefact is fully functional and the experimental results can be consistently reproduced.

Reference

[1]

Romolo Marotta, Alessandro Pellegrini, and Philipp Andelfinger. 2024. Follow the Leader: Alternating CPU/GPU Computations in PDES. In Proceedings of the 2024 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation(PADS). ACM Press.

Digital Library

Google Scholar

Index Terms

Reproducibility Report for the Paper: Follow the Leader: Alternating CPU/GPU Computations in PDES
1. General and reference
  1. Cross-computing tools and techniques

Recommendations

Follow the Leader: Alternating CPU/GPU Computations in PDES
SIGSIM-PADS '24: Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

Despite the successes of graphics processing units (GPUs) in accelerating simulations in several research fields, their use is largely restricted to domain-specific workloads that consistently offer the large degree of inherent parallelism and ...
On the GPU-CPU Performance Portability of OpenCL for 3D Stencil Computations
ICPADS '13: Proceedings of the 2013 International Conference on Parallel and Distributed Systems

Although OpenCL programming provides full code portability between different hardware platforms, performance portability can be far from satisfactory. In this work, we use a set of representative 3D stencil computations to study OpenCL's performance ...
Optimized HPL for AMD GPU and multi-core CPU usage

The installation of the LOEWE-CSC ( http://csc.uni-frankfurt.de/csc/__ __51 ) supercomputer at the Goethe University in Frankfurt lead to the development of a Linpack which can fully utilize the installed AMD Cypress GPUs. At its core, a fast DGEMM for ...

Comments

Information & Contributors

Information

Published In

SIGSIM-PADS '24: Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

June 2024

155 pages

ISBN:9798400703638

DOI:10.1145/3615979

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 June 2024

Check for updates

Author Tags

Qualifiers

Extended-abstract
Research
Refereed limited

Conference

SIGSIM-PADS '24

Sponsor:

SIGSIM

SIGSIM-PADS '24: 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

June 24 - 26, 2024

GA, Atlanta, USA

Acceptance Rates

Overall Acceptance Rate 398 of 779 submissions, 51%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
11
Total Downloads

Downloads (Last 12 months)11
Downloads (Last 6 weeks)0

Reflects downloads up to 10 Nov 2024

Other Metrics

View Author Metrics

Citations

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Abstract

Reference

Index Terms

Recommendations

Follow the Leader: Alternating CPU/GPU Computations in PDES

On the GPU-CPU Performance Portability of OpenCL for 3D Stencil Computations

Optimized HPL for AMD GPU and multi-core CPU usage

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Get Access

Login options

Full Access

View options

PDF

eReader

HTML Format

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations