In this paper, we evaluate the overheads of virtualization in commercial multicore architectures with shared memory and MPI-based applications. We find that the non-uniformity of memory latencies affects the performance of virtualized systems significantly. Due to the lack of support for non-uniform memory access (NUMA) in the Xen hypervisor, shared memory applications suffer from a significant performance degradation by virtualization. MPI-based applications show more resilience on sub-optimal NUMA memory allocation and virtual machine (VM) scheduling. However, using multiple VMs on a physical system for the same instance of MPI applications may adversely affect the overall performance, by increasing I/O operations through the domain 0 VM. As the number of cores increases on a chip, the cache hierarchy and external memory will become more asymmetric. As such non-uniformity in memory systems increases, NUMA and cache awareness in VM scheduling will be critical for shared memory applications. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Han, J., Ahn, J., Kim, C., Kwon, Y., Choi, Y. R., & Huh, J. (2011). The effect of multi-core on HPC applications in virtualized systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6586 LNCS, pp. 615–623). https://doi.org/10.1007/978-3-642-21878-1_76
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