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pro vyhledávání: '"Allan Snavely"'
Publikováno v:
Contemporary High Performance Computing ISBN: 9781351104005
Contemporary High Performance Computing
Contemporary High Performance Computing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53ce9f300f0ae5d200c4d9d89009890d
https://doi.org/10.1201/9781351104005-17
https://doi.org/10.1201/9781351104005-17
Publikováno v:
Concurrency and Computation: Practice and Experience. 28:211-231
This article presents Green Queue, a production quality tracing and analysis framework for implementing application aware dynamic voltage and frequency scaling DVFS for message passing interface applications in high performance computing. Green Queue
Autor:
Breslow Alexander D, Laura Carrington, Dean M. Tullsen, Ananta Tiwari, Michael A. Laurenzano, Leo Porter, Allan Snavely
Publikováno v:
Concurrency and Computation: Practice and Experience. 28:232-251
The current state of practice in supercomputer resource allocation places jobs from different users on disjoint nodes both in terms of time and space. While this approach largely guarantees that jobs from different users do not degrade one another's
Autor:
Mitesh R. Meswani, Laura Carrington, Scott B. Baden, Allan Snavely, Stephen W. Poole, Didem Unat
Publikováno v:
IPDPS Workshops
Computers with hardware accelerators, also referred to as hybrid-core systems, speedup applications by offloading certain compute operations that can run faster on accelerators. Thus, it is not surprising that many of top500 supercomputers use accele
Publikováno v:
ICCS
Two decades of microprocessor architecture driven by quantitative 90/10 optimization has delivered an extraordinary 1000-fold improvement in microprocessor performance, enabled by transistor scaling which improved density, speed, and energy. Recent g
Autor:
Cynthia Lee, Allan Snavely
Publikováno v:
The International Journal of High Performance Computing Applications. 20:495-506
Effective communication between user and scheduler is an important prerequisite to achieving a successful scheuling outcome from both parties' perspectives. In a grid or stand-alone high-performance computing (HPC) enviroment, this communication typi
Publikováno v:
Future Generation Computer Systems. 22:336-346
This work presents the results of ongoing investigations in the development of a performance modeling framework, developed by the Performance Modeling and Characterization (PMaC) Lab at the San Diego Supercomputer Center. The framework is faster than
Publikováno v:
ACM SIGARCH Computer Architecture News. 33:81-86
Trace-driven memory simulation tools such as MetaSim Tracer [1] capture the address stream of an application during an instrumented program run. Various statistics can be measured using the in-flight address stream including anticipated cache hit rat
Publikováno v:
ACM SIGARCH Computer Architecture News. 33:33-38
Binary instrumentation tools are very useful for collecting traces of program events. Common uses for such traces include trace-driven simulation and performance modeling. However commonly available general-purpose instrumentation tools are inefficie
Autor:
Daniel A. Reed, Sarat Sreepathi, Allen D. Malony, Shirley Moore, G. Mahinthakumar, Kevin Huck, Hongzhang Shan, Allan Snavely, Yilei Zhang, P. Roth, T Kaiser, Jeff Candy, Sameer Shende, Laura Carrington, Felix Wolf, Patrick H. Worley
Publikováno v:
Worley, P.; Roth, P.; Candy, J.; Shan, Hongzhang; Mahinthakumar, G.; Sreepathi, S.; et al.(2005). Performance Analysis of GYRO: A Tool Evaluation. Lawrence Berkeley National Laboratory. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/4bk0c6x2
The performance of the Eulerian gyrokinetic-Maxwell solver code GYRO is analyzed on five high performance computing systems. First, a manual approach is taken, using custom scripts to analyze the output of embedded wallclock timers, floating point op