Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Michael Showerman"'
Autor:
Daniel LaPine, Fang Cherry Liu, Rich Knepper, Andrew H. Sherman, John Towns, Michael Showerman, Resa Reynolds, Michael Jennings, Stephen Lien Harrell, Brian Haymore, Amiya K. Maji, Timothy A. Bouvet, Jenett Tillotson, Mehmet Belgin, George Turner, Neil Bright, Brett Zimmerman, David L. Akin, Henry Neeman
Publikováno v:
Proceedings of the HPC Systems Professionals Workshop.
We discuss training workshops run by the Linux Clusters Institute (LCI), which provides education and advanced technical training for IT professionals who deploy and support High Performance Computing (HPC) Linux clusters, which have become the most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c19ce8d3ba8b960e046c7e8674d65a1
https://doi.org/10.1145/3155105.3155108
https://doi.org/10.1145/3155105.3155108
Autor:
Brett M. Bode, William Kramer, Amanda Bonnie, Saurabh Jha, Ravishankar K. Iyer, Zbigniew Kalbarczyk, Mike Mason, Michael Showerman, Jim Brandt, Ann C. Gentile, Larry Kaplan, Jeremy Enos, Annette Greiner, Greg Bauer
Publikováno v:
CLUSTER
In high-performance computing systems, application performance and throughput are dependent on a complex interplay of hardware and software subsystems and variable workloads with competing resource demands. Data-driven insights into the potentially w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81d90dca58e76d20f755172004e28eab
https://doi.org/10.1109/cluster.2017.124
https://doi.org/10.1109/cluster.2017.124
Autor:
Michael Showerman, Robert Brunner, Andriy Kot, Nikolay A. Simakov, William Kramer, Matthew D. Jones, Jeffrey T. Palmer, Gregory Bauer, Robert L. DeLeon, Brett Bode, Steven M. Gallo, Joseph P. White, Thomas R. Furlani, jeremy enos, Martins Innus
Publikováno v:
PEARC
Blue Waters [4] is a petascale-level supercomputer whose mission is to greatly accelerate insight to the most challenging computational and data analysis problems. We performed a detailed workload analysis of Blue Waters [8] using Open XDMoD [10]. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::928eb41e16a97af91345b7aea703ee2b
https://doi.org/10.1145/3093338.3093348
https://doi.org/10.1145/3093338.3093348
Autor:
Michael Showerman
Publikováno v:
CLUSTER
High Performance Computing (HPC) system users and administrators are often hampered in their ability understand application performance and system behavior due to a lack of sufficient information about how resources, such as memory, CPU, networks and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07e1f0280c1c7c71f30dda8173c350e2
https://doi.org/10.1109/cluster.2015.122
https://doi.org/10.1109/cluster.2015.122
Autor:
Joel O. Stevenson, Benjamin A. Allan, Jeff Ogden, Thomas Tucker, Narate Taerat, Ann C. Gentile, Nichamon Naksinehaboon, Steve Monk, Jeremy Enos, paul cassella, Anthony Agelastos, Jim Brandt, Mahesh Rajan, Joshi Fullop, Michael Showerman
Publikováno v:
SC
Understanding how resources of High Performance Compute platforms are utilized by applications both individually and as a composite is key to application and platform performance. Typical system monitoring tools do not provide sufficient fidelity whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44efd2fd10c721fa84e82546f1d50e23
https://doi.org/10.1109/sc.2014.18
https://doi.org/10.1109/sc.2014.18
Autor:
C Steffen, Kenneth Esler, John E. Stone, Michael Showerman, Joshi Fullop, Jeremy Enos, James C. Phillips, Volodymyr Kindratenko, Guochun Shi
Publikováno v:
Green Computing Conference
We present an inexpensive hardware system for monitoring power usage of individual CPU hosts and externally attached GPUs in HPC clusters and the software stack for integrating the power usage data streamed in real-time by the power monitoring hardwa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50128c15026379f2c3bb88f5ea4cbc27
https://doi.org/10.1109/greencomp.2010.5598297
https://doi.org/10.1109/greencomp.2010.5598297
Autor:
Wen-mei W. Hwu, Guochun Shi, Jeremy Enos, James C. Phillips, Michael Showerman, John E. Stone, Galen Wesley Arnold, Volodymyr Kindratenko
Publikováno v:
CLUSTER
Large-scale GPU clusters are gaining popularity in the scientific computing community. However, their deployment and production use are associated with a number of new challenges. In this paper, we present our efforts to address some of the challenge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7948bc4673c93b047047779fb5cafb9e
https://doi.org/10.1109/clustr.2009.5289128
https://doi.org/10.1109/clustr.2009.5289128