@inproceedings{b337a646693f41d58610a3d84531f1f9,
title = "Optimizing the performance of parallel applications on a 5D torus via task mapping",
abstract = "Six of the ten fastest supercomputers in the world in 2014 use a torus interconnection network for message passing between compute nodes. Torus networks provide high bandwidth links to near-neighbors and low latencies over multiple hops on the network. However, large diameters of such networks necessitate a careful placement of parallel tasks on the compute nodes to minimize network congestion. This paper presents a methodological study of optimizing application performance on a five-dimensional torus network via the technique of topology-aware task mapping. Task mapping refers to the placement of processes on compute nodes while carefully considering the network topology between the nodes and the communication behavior of the application. We focus on the IBM Blue Gene/Q machine and two production applications - a laser-plasma interaction code called pF3D and a lattice QCD application called MILC. Optimizations presented in the paper improve the communication performance of pF3D by 90% and that of MILC by up to 47%.",
keywords = "5D torus, congestion, performance, task mapping",
author = "Abhinav Bhatele and Nikhil Jain and Isaacs, {Katherine E.} and Ronak Buch and Todd Gamblin and Langer, {Steven H.} and Kale, {Laxmikant V.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 21st International Conference on High Performance Computing, HiPC 2014 ; Conference date: 17-12-2014 Through 20-12-2014",
year = "2014",
doi = "10.1109/HiPC.2014.7116706",
language = "English (US)",
series = "2014 21st International Conference on High Performance Computing, HiPC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2014 21st International Conference on High Performance Computing, HiPC 2014",
address = "United States",
}