Premium
A new deadlock resolution protocol and message matching algorithm for the extreme‐scale simulator
Author(s) -
Engelmann Christian,
Naughton Thomas
Publication year - 2016
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3805
Subject(s) - computer science , benchmark (surveying) , supercomputer , embarrassingly parallel , deadlock , parallel computing , message passing interface , overhead (engineering) , software , message passing , distributed computing , parallel algorithm , operating system , geodesy , geography
Summary Investigating the performance of parallel applications at scale on future high‐performance computing (HPC) architectures and the performance impact of different HPC architecture choices is an important component of HPC hardware/software co‐design. The Extreme‐scale Simulator (xSim) is a simulation toolkit for investigating the performance of parallel applications at scale. xSim scales to millions of simulated Message Passing Interface (MPI) processes. The xSim toolkit strives to limit simulation overheads in order to maintain performance and productivity criteria. This paper documents two improvements to xSim: (1) a new deadlock resolution protocol to reduce the parallel discrete event simulation overhead and (2) a new simulated MPI message matching algorithm to reduce the oversubscription management cost. These enhancements resulted in significant performance improvements. The simulation overhead for running the NASA Advanced Supercomputing Parallel Benchmark suite dropped from 1,020% to 238% for the conjugate gradient benchmark and 102% to 0% for the embarrassingly parallel benchmark. Additionally, the improvements were beneficial for reducing overheads in the highly accurate simulation mode of xSim, which is useful for resilience investigation studies for tracking intentional MPI process failures. In the highly accurate mode, the simulation overhead was reduced from 37,511% to 13,808% for conjugate gradient and from 3,332% to 204% for embarrassingly parallel. Copyright © 2016 John Wiley & Sons, Ltd.