Scalability and communication performance of HPC on Azure Cloud

Egyptian Informatics Journal

Volumn 17, Issue 2, 2016, Pages 175-182

  Hassan, Hanan A ^a   Mohamed, Shimaa A ^a   Sheta, Walaa M ^a  

^a GENETIC ENGINEERING AND BIOTECHNOLOGY RESEARCH INSTITUTE   (Egypt)

Author keywords

Azure Cloud; HPC on cloud computing; NPB benchmarks

Indexed keywords

CLOUD COMPUTING; LARGE DATASET; SCALABILITY; WINDOWS OPERATING SYSTEM;

CLOUD COMPUTING SERVICES; CLOUD INFRASTRUCTURES; COMMUNICATION PERFORMANCE; DIFFERENT DOMAINS; NAS PARALLEL BENCHMARKS; PHYSICAL RESOURCES; POINT-TO-POINT COMMUNICATION; SCALABILITY AND PERFORMANCE;

BENCHMARKING;

EID: 84947595555     PISSN: 11108665     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eij.2015.11.001     Document Type: Article

References (26)

1. [1] Gupta, A., Milojicic, D., Evaluation of hpc applications on cloud. 2011 sixth open cirrus summit (OCS), 2011, IEEE, 22–26.
2. [2] Hu, Y., Long, X., Zhang, J., Enhance virtualized HPC system based on I/O behavior perception and asymmetric scheduling. 2012 IEEE 14th international conference on high performance computing and communication & 2012 IEEE 9th international conference on embedded software and systems (HPCC-ICESS), 2012, IEEE, 169–178.
3. [3] Sultan, N., Discovering the potential of cloud computing in accelerating the search for curing serious illnesses. Int J Inf Manage 34:2 (2014), 221–225.
4. [4] Ismail, R., Hamid, N.A.W.A., Othman, M., Latip, R., Sanwani, M.A., Point-to-point communication on gigabit ethernet and Infiniband networks. Informatics engineering and information science, 2011, Springer, 369–382.
5. [5] Top500 supercomputing system. < http://www.top500.org>.
6. [6] Mauch, V., Kunze, M., Hillenbrand, M., High performance cloud computing. Future Gener Comput Syst 29:6 (2013), 1408–1416.
7. [7] Jackson, K.R., Ramakrishnan, L., Muriki, K., Canon, S., Cholia, S., Shalf, J., et al. Performance analysis of high performance computing applications on the amazon web services cloud. 2010 IEEE second international conference on cloud computing technology and science (CloudCom), 2010, IEEE, 159–168.
8. [8] NPB: NAS Parallel Benchmarks. < http://www.nas.nasa.gov/Resources/Software/npb.html>.
9. [9] SKaMPI. < http://liinwww.ira.uka.de/skampi/>.
10. [10] Mpptest. < http://www.mcs.anl.gov/research/projects/mpi/mpptest/>.
11. [11] Pallas MPI Benchmark. < https://software.intel.com/en-us/articles/intel-mpi-benchmarks>.
12. [12] MPBench. < http://icl.cs.utk.edu/projects/llcbench/mpbench.html>.
13. [13] MPIBench. < http://www.dhpc.edelaide.edu.au/projects/MPIBench>.
14. [14] HPL – a portable implementation of the highperformance linpack benchmark for distributed-memory computers. < http://www.netlib.org/benchmark/hpl/>.
15. [15] ExpóSito, R.R., Taboada, G.L., Ramos, S., TouriñO, J., Doallo, R., Performance analysis of HPC applications in the cloud. Future Gener Comput Syst 29:1 (2013), 218–229.
16. [16] Jose, J., Li, M., Lu, X., Kandalla, K.C., Arnold, M.D., Panda, D.K., SR-IOV support for virtualization on infiniband clusters: early experience. 2013 13th IEEE/ACM international symposium on cluster, cloud and grid computing (CCGrid), 2013, IEEE, 385–392.
17. [17] Infiniband Trade Association. < http://www.infinibandta.org>.
18. [18] Roloff, E., Diener, M., Carissimi, A., Navaux, P.O.A., High performance computing in the cloud: deployment, performance and cost efficiency. 2012 IEEE 4th international conference on cloud computing technology and science (CloudCom), 2012, IEEE, 371–378.
19. [19] Akioka, S., Muraoka, Y., HPC benchmarks on Amazon EC2. 2010 IEEE 24th international conference on advanced information networking and applications workshops (WAINA), 2010, IEEE, 1029–1034.
20. [20] Hassani, R., Aiatullah, M., Luksch, P., Improving HPC application performance in public cloud. IERI Procedia 10 (2014), 169–176.
21. [21] Belgacem, M.B., Chopard, B., A hybrid HPC/cloud distributed infrastructure: coupling EC2 cloud resources with HPC clusters to run large tightly coupled multiscale applications. Future Gener Comput Syst 42 (2015), 11–21.
22. [22] Evangelinos, C., Hill, C., Cloud computing for parallel scientific HPC applications: feasibility of running coupled atmosphere–ocean climate models on Amazons EC2. Ratio 2:2.40 (2008), 2–34.
23. [23] Mehrotra, P., Djomehri, J., Heistand, S., Hood, R., Jin, H., Lazanoff, A., et al. Performance evaluation of Amazon EC2 for NASA HPC applications. Proceedings of the 3rd workshop on scientific cloud computing date, 2012, ACM, 41–50.
24. [24] Azure compute size. < http://azure.microsoft.com/blog/2015/03/05/new-a10a11-azure-compute-sizes/>.
25. [25] Openmpi website. < http://www.open-mpi.org/>.
26. [26] Mpich2 website. < http://www.mcs.anl.gov/research/projects/mpich2.org/>.