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Volumn , Issue , 2010, Pages

Parallel I/O performance: From events to ensembles

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE SCIENCE; I/O PERFORMANCE; MIDDLEWARE PERFORMANCE; PARALLEL COMPUTER; PARALLEL FILE SYSTEM; PARALLEL I/O; RESEARCH AGENDA; RUNTIMES; SCIENTIFIC COMPUTATION; STATISTICAL APPROACH;

EID: 77953981910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPDPS.2010.5470424     Document Type: Conference Paper
Times cited : (47)

References (21)
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    • Borrill, J.1
  • 7
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    • HPC global file system performance analysis using a scientific- application derived benchmark
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    • (2009) Parallel Computing
    • Borrill, J.1    Oliker, L.2    Shall, J.3    Shan, H.4    Uselton, A.5
  • 8
    • 48849117708 scopus 로고    scopus 로고
    • An efficient format for nearly constant-time access to arbitrary time intervals in large trace files
    • A. Chan, W. Gropp, and E. Lusk. An efficient format for nearly constant-time access to arbitrary time intervals in large trace files. In Scientific Programming, volume 16, pages 155-165, 2008.
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    • Chan, A.1    Gropp, W.2    Lusk, E.3
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    • Detecting application load imbalance on high end massively parallel systems
    • L. DeRose, B. Homer, and D. Johnson. Detecting application load imbalance on high end massively parallel systems. In Proceedings, EuroPar 2007, LNCS 4641, pp. 150-159, 2007.
    • (2007) Proceedings, EuroPar 2007, LNCS 4641 , pp. 150-159
    • Derose, L.1    Homer, B.2    Johnson, D.3
  • 13
    • 77953992213 scopus 로고    scopus 로고
    • I/O Tips
    • I/O Tips. http://www.nccs.gov/computing-resources/jaguar/debugging- optimization/io-tips/.
  • 14
    • 77953973214 scopus 로고    scopus 로고
    • The ASCI I/O stress benchmark
    • The ASCI I/O stress benchmark. http://sourceforge.net/projects/ior-sio/.
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    • MADbench2: A Scientific-Application Derived I/O Benchmark
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    • Characterizing and predicting the I/O performance of HPC applications using a parameterized synthetic benchmark
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    • H. Shan, K. Anypas, and J. Shalf. Characterizing and predicting the I/O performance of HPC applications using a parameterized synthetic benchmark. In Proc. SC2008: High performance computing, networking, and storage conference, Austin, TX, Nov 15-21, 2008, to appear.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.