ABSTRACT
Multiple nodes of the Comet supercomputer at the San Diego Supercomputer Center were used to analyse and compare (between Singularity and non-Singularity) performance of resource intensive applications of benchmark codes such as NEURON (a computational neuronal simulation tool), OSU Benchmarks, and Intel MPI Benchmarks (IMB). NEURON software was used to simulate a complex neuronal network model (Jones Model from ModelDB hosted at Yale University) and the IMB benchmarks were used to calculate the latency and performance of each method. communication efficiency of MPI. The containerized runtimes were directly compared with the corresponding non-containerized runtime of jobs to analyse the performance of each method. For future work, we plan to explore other technologies such as Shifter and study their performance on HPC.
- Jones SR, Pritchett DL, Stufflebeam SM, Hamalainen M, Moore CI (2007) Neural correlates of tactile detection: a combined magnetoencephalography and biophysically based computational modeling study. J Neurosci 27:10751-64Google ScholarCross Ref
- G. Slavova, Intel MPI Benchmarks, Intel, 2017.Google Scholar
- D. Panda. OSU, NERSC, 2017.Google Scholar
- M. Hines, NEURON, 2017.Google Scholar
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