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- research-articleJuly 2024
Overview of ACCESS allocated cyberinfrastructure usage
PEARC '24: Practice and Experience in Advanced Research Computing 2024: Human Powered ComputingArticle No.: 28, Pages 1–10https://doi.org/10.1145/3626203.3670521ACCESS is a program established and funded by the National Science Foundation to help researchers and educators use the NSF national advanced computing systems and services. Here we present an analysis of the usage of ACCESS allocated ...
- research-articleJuly 2022Best Paper
Performance Optimization of the Open XDMoD Datawarehouse
PEARC '22: Practice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, YouArticle No.: 4, Pages 1–7https://doi.org/10.1145/3491418.3530290Open XDMoD is an open source tool to facilitate the management of high performance computing resources. It is widely deployed at academic, industrial, and governmental HPC centers and is used to monitor large and small HPC and cloud systems. The core of ...
- research-articleJuly 2018
Evaluating the Scientific Impact of XSEDE
- Fugang Wang,
- Gregor von Laszewski,
- Timothy Whitson,
- Geoffrey C. Fox,
- Thomas R. Furlani,
- Robert L. DeLeon,
- Steven M. Gallo
PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless CreativityArticle No.: 10, Pages 1–8https://doi.org/10.1145/3219104.3219124We use the bibliometrics approach to evaluate the scientific impact of XSEDE. By utilizing publication data from various sources, e.g., ISI Web of Science and Microsoft Academic Graph, we calculate the impact metrics of XSEDE publications and show how ...
- research-articleJuly 2017
XDMoD Value Analytics: A Tool for Measuring the Financial and Intellectual ROI of Your Campus Cyberinfrastructure Facilities
- Ben Fulton,
- Steven Gallo,
- Robert Henschel,
- Tom Yearke,
- Katy Börner,
- Robert L. DeLeon,
- Thomas Furlani,
- Craig A. Stewart,
- Matt Link
PEARC '17: Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and ImpactArticle No.: 49, Pages 1–7https://doi.org/10.1145/3093338.3093358Understanding the financial and intellectual value of campus-based cyberinfrastructure (CI) to the institutions that invest in such CI is intrinsically difficult. Given today's financial pressures, there is often administrative pressure questioning the ...
- research-articleJuly 2016
A Quantitative Analysis of Node Sharing on HPC Clusters Using XDMoD Application Kernels
- Nikolay A. Simakov,
- Robert L. DeLeon,
- Joseph P. White,
- Thomas R. Furlani,
- Martins Innus,
- Steven M. Gallo,
- Matthew D. Jones,
- Abani Patra,
- Benjamin D. Plessinger,
- Jeanette Sperhac,
- Thomas Yearke,
- Ryan Rathsam,
- Jeffrey T. Palmer
XSEDE16: Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at ScaleArticle No.: 32, Pages 1–8https://doi.org/10.1145/2949550.2949553In this investigation, we study how application performance is affected when jobs are permitted to share compute nodes. A series of application kernels consisting of a diverse set of benchmark calculations were run in both exclusive and node-sharing ...
- ArticleSeptember 2015
Analysis of XDMoD/SUPReMM Data Using Machine Learning Techniques
- Steven M. Gallo,
- Joseph P. White,
- Robert L. DeLeon,
- Thomas R. Furlani,
- Helen Ngo,
- Abani K. Patra,
- Matthew D. Jones,
- Jeffrey T. Palmer,
- Nikolay Simakov,
- Jeanette M. Sperhac,
- Martins Innus,
- Thomas Yearke,
- Ryan Rathsam
CLUSTER '15: Proceedings of the 2015 IEEE International Conference on Cluster ComputingPages 642–649https://doi.org/10.1109/CLUSTER.2015.114Machine learning techniques were applied to job accounting and performance data for application classification. Job data were accumulated using the XDMoD monitoring technology named SUPReMM, they consist of job accounting information, application ...
- research-articleJuly 2015
TAS view of XSEDE users and usage
- Robert L. DeLeon,
- Thomas R. Furlani,
- Steven M. Gallo,
- Joseph P. White,
- Matthew D. Jones,
- Abani Patra,
- Martins Innus,
- Thomas Yearke,
- Jeffrey T. Palmer,
- Jeanette M. Sperhac,
- Ryan Rathsam,
- Nikolay Simakov,
- Gregor von Laszewski,
- Fugang Wang
XSEDE '15: Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced CyberinfrastructureArticle No.: 21, Pages 1–8https://doi.org/10.1145/2792745.2792766The Technology Audit Service has developed, XDMoD, a resource management tool. This paper utilizes XDMoD and the XDMoD data warehouse that it draws from to provide a broad overview of several aspects of XSEDE users and their usage. Some important trends ...
- articleSeptember 2014
Comprehensive, open-source resource usage measurement and analysis for HPC systems
- James C. Browne,
- Robert L. DeLeon,
- Abani K. Patra,
- William L. Barth,
- John Hammond,
- Matthew D. Jones,
- Thomas R. Furlani,
- Barry I. Schneider,
- Steven M. Gallo,
- Amin Ghadersohi,
- Ryan J. Gentner,
- Jeffrey T. Palmer,
- Nikolay Simakov,
- Martins Innus,
- Andrew E. Bruno,
- Joseph P. White,
- Cynthia D. Cornelius,
- Thomas Yearke,
- Kyle Marcus,
- Gregor Laszewski,
- Fugang Wang
The important role high-performance computing HPC resources play in science and engineering research, coupled with its high cost capital, power and manpower, short life and oversubscription, requires us to optimize its usage - an outcome that is only ...
- research-articleJuly 2014
An Analysis of Node Sharing on HPC Clusters using XDMoD/TACC_Stats
- Joseph P. White,
- Robert L. DeLeon,
- Thomas R. Furlani,
- Steven M. Gallo,
- Matthew D. Jones,
- Amin Ghadersohi,
- Cynthia D. Cornelius,
- Abani K. Patra,
- James C. Browne,
- William L. Barth,
- John Hammond
XSEDE '14: Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery EnvironmentArticle No.: 31, Pages 1–8https://doi.org/10.1145/2616498.2616533When a user requests less than a full node for a job on XSEDE's large resources - Stampede and Lonestar4 -, that is less than 16 cores on Stampede or 12 cores on Lonestar4, they are assigned a full node by policy. Although the actual CPU hours consumed ...
- research-articleJuly 2014
Towards a Scientific Impact Measuring Framework for Large Computing Facilities - a Case Study on XSEDE
XSEDE '14: Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery EnvironmentArticle No.: 25, Pages 1–8https://doi.org/10.1145/2616498.2616507We present a framework that (a) integrates publication and citation data retrieval, (b) allows scientific impact metrics generation at different aggregation levels, and (c) provides correlation analysis of impact metrics based on publication and ...
- research-articleJuly 2013
Comprehensive job level resource usage measurement and analysis for XSEDE HPC systems
- Charng-Da Lu,
- James Browne,
- Robert L. DeLeon,
- John Hammond,
- William Barth,
- Thomas R. Furlani,
- Steven M. Gallo,
- Matthew D. Jones,
- Abani K. Patra
XSEDE '13: Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to DiscoveryArticle No.: 50, Pages 1–8https://doi.org/10.1145/2484762.2484781This paper presents a methodology for comprehensive job level resource use measurement and analysis and applications of the analyses to planning for HPC systems and a case study application of the methodology to the XSEDE Ranger and Lonestar4 systems at ...
- research-articleJuly 2013
Using XDMoD to facilitate XSEDE operations, planning and analysis
- Thomas R. Furlani,
- Barry L. Schneider,
- Matthew D. Jones,
- John Towns,
- David L. Hart,
- Steven M. Gallo,
- Robert L. DeLeon,
- Charng-Da Lu,
- Amin Ghadersohi,
- Ryan J. Gentner,
- Abani K. Patra,
- Gregor von Laszewski,
- Fugang Wang,
- Jeffrey T. Palmer,
- Nikolay Simakov
XSEDE '13: Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to DiscoveryArticle No.: 46, Pages 1–8https://doi.org/10.1145/2484762.2484763The XDMoD auditing tool provides, for the first time, a comprehensive tool to measure both utilization and performance of high-end cyberinfrastructure (CI), with initial focus on XSEDE. Here, we demonstrate, through several case studies, its utility for ...