Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Ruth A. Aydt"'
Autor:
Quincey Koziol, Marc Snir, Ruth A. Aydt, Huong Luu, Babak Behzad, Prabhat, Joseph Huchette, Surendra Byna
Publikováno v:
SC
We present an auto-tuning system for optimizing I/O performance of HDF5 applications and demonstrate its value across platforms, applications, and at scale. The system uses a genetic algorithm to search a large space of tunable parameters and to iden
Publikováno v:
CLUSTER
I/O has become one of the determining factors of HPC application performance. Understanding an application's I/O activity requires a multi-level view of the I/O function flow that includes high-level I/O libraries. We have developed a tracing framewo
Autor:
Joseph Huchette, Quincey Koziol, Surendra Byna, Huong Luu, Babak Behzad, Prabhat, Ruth A. Aydt, Yushu Yao
Publikováno v:
HPDC
The modern parallel I/O stack consists of several software layers with complex inter-dependencies and performance characteristics. While each layer exposes tunable parameters, it is often unclear to users how different parameter settings interact wit
Autor:
Yushu Yao, Ruth A. Aydt, Joey Huchette, Mohamad Chaarawi, Babak Behzad, Prabhat, Huong Luu, Quincey Koziol, Suren Byna
Publikováno v:
SC Companion
Parallel I/O is an unavoidable part of modern high-performance computing (HPC), but its system-wide dependencies means it has eluded optimization across platforms and applications. This can introduce bottlenecks in otherwise computationally efficient
Autor:
Tara M. Madhyastha, Ruth A. Aydt, B. K. Totty, Daniel A. Reed, R.D. Olson, David W. Jensen, Bobby A.A. Nazief, T. Birkett
Publikováno v:
The Sixth Distributed Memory Computing Conference, 1991. Proceedings.
As parallel systems expand in size and complexity, the absence of performance tools for these parallel systems exacerbates the already difficult problems of application program and system software performance tuning. Moreover, given the pace of techn
Autor:
B. Schaeffer, S. Whitmore, Eric Shaffer, Daniel A. Reed, M. Pantano, Ruth A. Aydt, L. de Rose
Publikováno v:
HPDC
Complex, distributed applications pose new challenges for performance analysis and optimization. This paper outlines an online approach to performance analysis where developers are active participants, using integrated measurement and immersive perfo
Publikováno v:
Proceedings of Scalable Parallel Libraries Conference.
Developers of application codes for massively parallel computer systems face daunting performance tuning and optimization problems that must be solved if massively parallel systems are to fulfill their promise. Recording and analyzing the dynamics of
Autor:
W.H. Scullin, Ruth A. Aydt, Daniel A. Reed, Evgenia Smirni, Christopher L. Elford, Tara M. Madhyastha
Publikováno v:
MASCOTS
A large and important class of national challenge applications are irregular, with complex, data dependent execution behavior, and dynamic, with time varying resource demands. We believe the solution to the performance optimization conundrum is integ
Autor:
Otto Sievert, Andrew A. Chien, Keith D. Cooper, Holly Dail, John Mellor-Crummey, Ken Kennedy, Francine Berman, Ruth A. Aydt, Ian Foster, Linda Torczon, David Angulo, M. Mazina, Daniel A. Reed
Publikováno v:
IPDPS
This paper describes the program execution framework being developed by the Grid Application Development Software (GrADS) Project. The goal of this framework is to provide good resource allocation for Grid applications and to support adaptive realloc
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540429494
GRID
GRID
Given the dynamic nature of grid resources, adaptation is required to sustain a predictable level of application performance. A prerequisite of adaptation is the recognition of changing conditions. In this paper we introduce an application signature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::431e1e83cb383f3b597fb7035532e13e
https://doi.org/10.1007/3-540-45644-9_15
https://doi.org/10.1007/3-540-45644-9_15