Search Results - "Ghadersohi, Amin"

Application kernels: HPC resources performance monitoring and variance analysis by Simakov, Nikolay A., White, Joseph P., DeLeon, Robert L., Ghadersohi, Amin, Furlani, Thomas R., Jones, Matthew D., Gallo, Steven M., Patra, Abani K.

“…Summary Application kernels are computationally lightweight benchmarks or applications run repeatedly on high performance computing (HPC) clusters in order to…”
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Performance metrics and auditing framework using application kernels for high-performance computer systems by Furlani, Thomas R., Jones, Matthew D., Gallo, Steven M., Bruno, Andrew E., Lu, Charng-Da, Ghadersohi, Amin, Gentner, Ryan J., Patra, Abani, DeLeon, Robert L., von Laszewski, Gregor, Wang, Fugang, Zimmerman, Ann

“…SUMMARYThis paper describes XSEDE Metrics on Demand, a comprehensive auditing framework for use by high‐performance computing centers, which provides metrics…”
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SnB Collaborative Visualization by Pape, Dave, Ghadersohi, Amin, Anstey, Josephine, Makwana, Amit

“…We describe a system for visualization and editing of data in a computational chemistry environment. The system is a collaborative tool allowing researchers…”
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Comprehensive, open-source resource usage measurement and analysis for HPC systems by Browne, James C., DeLeon, Robert L., Patra, Abani K., Barth, William L., Hammond, John, Jones, Matthew D., Furlani, Thomas R., Schneider, Barry I., Gallo, Steven M., Ghadersohi, Amin, Gentner, Ryan J., Palmer, Jeffrey T., Simakov, Nikolay, Innus, Martins, Bruno, Andrew E., White, Joseph P., Cornelius, Cynthia D., Yearke, Thomas, Marcus, Kyle, von Laszewski, Gregor, Wang, Fugang

“…SUMMARY The important role high‐performance computing (HPC) resources play in science and engineering research, coupled with its high cost (capital, power and…”
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Enabling comprehensive data-driven system management for large computational facilities by Browne, James C., DeLeon, Robert L., Lu, Charng-Da, Jones, Matthew D., Gallo, Steven M., Ghadersohi, Amin, Patra, Abani K., Barth, William L., Hammond, John, Furlani, Thomas R., McLay, Robert T.

“…This paper presents a tool chain, based on the open source tool TACC_Stats, for systematic and comprehensive job level resource use measurement for large…”
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