A Delegation Mechanism on Many-Core Oriented Hybrid Parallel Computers for Scalability of Communicators and Communications in MPI

Kazumi Yoshinaga, Y. Tsujita, A. Hori, Mikiko Sato, M. Namiki, Y. Ishikawa
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引用次数: 1

Abstract

This paper describes a delegation based high throughput MPIcommunication mechanism under tough memory utilization constrains on a many-core oriented hybrid parallel computer. Towards the Exascale era, hybrid parallel computers consisting of many-core and multi-core architectures both on the same node are focused. Although many-core architectures such as GPU or Intel MIC has high potential in computing power by the large number of computing cores, per-core computing power is lower than that of multi-core CPUs. Furthermore, available memory resources for the many-core CPUs are quite smaller than those for multi-core CPUs. Thus we may have a sort of penalty in memory utilization in MPI communications when we utilize a normal MPI library. Here we deploy a delegatee process on each node to merge MPI communications and minimize memory utilization for an MPI communicator. Another advantage of the delegatee process scheme is minimization of memory utilization on many-core CPUs by delegating MPI requests to associated delegatee process on multi-core CPUs. In this paper, we show performance advantages and effective resource utilization by our proposed scheme compared with the original MPI implementation.
面向多核混合并行计算机的通信器和MPI通信可扩展性委托机制
在面向多核的混合并行计算机上,提出了一种在严格内存使用约束下,基于委托的高吞吐量mpi通信机制。在百亿亿级时代,由多核和多核架构组成的混合并行计算机在同一节点上受到关注。虽然GPU、Intel MIC等多核架构通过大量的计算核在计算能力上有很大的潜力,但单核计算能力低于多核cpu。此外,多核cpu的可用内存资源要比多核cpu少得多。因此,当我们使用普通的MPI库时,我们可能会在MPI通信中的内存利用率方面受到某种惩罚。这里,我们在每个节点上部署一个委托进程来合并MPI通信,并最大限度地减少MPI通信器的内存占用。委托进程方案的另一个优点是,通过将MPI请求委托给多核cpu上的相关委托进程,可以最大限度地减少多核cpu上的内存使用。在本文中,我们展示了该方案与原始MPI实现相比的性能优势和有效的资源利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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