Introduction to parallel computing: design and analysis of algorithms
Introduction to parallel computing: design and analysis of algorithms
The high performance Fortran handbook
The high performance Fortran handbook
Public international benchmarks for parallel computers: PARKBENCH committee: Report-1
Scientific Programming
Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
Message-Passing Performance of Parallel Computers
Euro-Par '97 Proceedings of the Third International Euro-Par Conference on Parallel Processing
Analyzing the Performance of MPI in a Cluster of Workstations Based on Fast Ethernet
Proceedings of the 4th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
A Comparison of MPI Performance on Different MPPs
Proceedings of the 4th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
SKaMPI: A Detailed, Accurate MPI Benchmark
Proceedings of the 5th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Accurately Measuring MPI Broadcasts in a Computational Grid
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
Exploiting Hierarchy in Parallel Computer Networks to Optimize Collective Operation Performance
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
mpicroscope: towards an MPI benchmark tool for performance guideline verification
EuroMPI'12 Proceedings of the 19th European conference on Recent Advances in the Message Passing Interface
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The current practice of developing high-performance software for parallel computers includes a tuning phase where the software's performance is optimised for a specific hardware platform. This tuning phase often is costly and results in machine-specific, hence, less portable software. In this paper we present a publicly available database providing performance data for operations of the message-passing-interface (MPI) measured on several different platforms. This allows to design MPI programs for performance and portability in early stages of software development. Considering the performance of MPI operations while designing programmes allows the software developer (a) to select the fastest implementation alternative, (b) to write performance portable software (i.e., software showing high performance on several platforms without platform-specific tuning), if possible, and (c) to quantify the tradeoff between ultimate performance and performance portability for different platforms.