Using Non-blocking I/O Operations in High Performance Computing to Reduce Execution Times

Authors:
David Buettner;Julian Kunkel;Thomas Ludwig
Affiliations:
Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany 69120;Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany 69120;Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany 69120
Venue:
Proceedings of the 16th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Year:
2009

Citing 5
Cited 0

Effective Communication and File-I/O Bandwidth Benchmarks

Proceedings of the 8th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
COMB: A Portable Benchmark Suite for Assessing MPI Overlap

CLUSTER '02 Proceedings of the IEEE International Conference on Cluster Computing
Beowulf Cluster Computing with Linux

Beowulf Cluster Computing with Linux
Toward Scalable Performance Visualization with Jumpshot

International Journal of High Performance Computing Applications
Test suite for evaluating performance of MPI implementations that support MPI_THREAD_MULTIPLE

PVM/MPI'07 Proceedings of the 14th European conference on Recent Advances in Parallel Virtual Machine and Message Passing Interface

Quantified Score

Hi-index	0.00

Visualization

Abstract

As supercomputers become faster, the I/O part of applications can become a real problem in regard to overall execution times. System administrators and developers of hardware or software components reduce execution times by creating new and optimized parts for the supercomputers. While this helps a lot in the struggle to minimize I/O times, adjustment of the execution environment is not the only option to improve overall application behavior. In this paper we examine if the application programmer can also contribute by making use of non-blocking I/O operations. After an analysis of non-blocking I/O operations and their potential for shortening execution times we present a benchmark which was created and run in order to see if the theoretical promises also hold in practice.