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Volumn , Issue , 2011, Pages

Cloud versus in-house cluster: Evaluating amazon cluster compute instances for running MPI applications

Author keywords

[No Author keywords available]

Indexed keywords

AMAZON EC2; CLOUD SERVICES; COMPREHENSIVE EXAMINATION; LIMITING FACTORS; LOCAL CLUSTER; MPI APPLICATIONS; PARALLEL APPLICATION; PARALLEL I/O SYSTEMS; PAY-AS-YOU-GO; PERFORMANCE STABILITY; PROBLEM SIZE; SCALABILITY ANALYSIS; TIGHTLY-COUPLED; USER ACTIVITY; USER EXPERIENCE; VIRTUAL CLUSTERS; VIRTUAL MACHINES;

EID: 83055184887     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2063348.2063363     Document Type: Conference Paper
Times cited : (73)

References (41)
  • 10
    • 74349095095 scopus 로고    scopus 로고
    • Cloud computing for parallel scientific HPC applications: Feasibility of running coupled atmosphere-ocean climate models on Amazon's EC2
    • C. Evangelinos and C. Hill. Cloud Computing for parallel Scientific HPC Applications: Feasibility of Running Coupled Atmosphere-Ocean Climate Models on Amazon's EC2. In The 1st Workshop on Cloud Computing and its Applications (CCA), 2008.
    • (2008) The 1st Workshop on Cloud Computing and Its Applications (CCA)
    • Evangelinos, C.1    Hill, C.2
  • 13
    • 83055199741 scopus 로고    scopus 로고
    • Amazon adds hpc capability to ec2
    • July
    • N. Hemsoth. Amazon adds hpc capability to ec2. HPC in the Cloud, July 2010.
    • (2010) HPC in the Cloud
    • Hemsoth, N.1
  • 17
    • 33947638068 scopus 로고    scopus 로고
    • Intel Inc. Intel MPI Benchmarks. http://software.intel.com/en-us/ articles/intel-mpibenchmarks/.
    • Intel MPI Benchmarks
  • 28
    • 84874034597 scopus 로고    scopus 로고
    • National Center for Biotechnology Information. NCBI BLAST. http://www.ncbi.nlm.nih.gov/BLAST/.
    • NCBI BLAST
  • 33
    • 70350787089 scopus 로고    scopus 로고
    • Characterizing and predicting the I/O performance of HPC applications using a parameterized synthetic benchmark
    • IEEE Press
    • H. Shan, K. Antypas, and J. Shalf. Characterizing and predicting the I/O performance of HPC applications using a parameterized synthetic benchmark. In Proceedings of the 2008 ACM/IEEE conference on Supercomputing, page 42. IEEE Press, 2008.
    • (2008) Proceedings of the 2008 ACM/IEEE Conference on Supercomputing , pp. 42
    • Shan, H.1    Antypas, K.2    Shalf, J.3
  • 38
    • 70349753672 scopus 로고    scopus 로고
    • Benchmarking Amazon EC2 for high-performance scientific computing
    • E. Walker. Benchmarking Amazon EC2 for High-Performance Scientific Computing. Login, 33(5), 2008.
    • (2008) Login , vol.33 , Issue.5
    • Walker, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.