How to Measure, Present, and Compare Parallel Performance

Authors:
Lawrence A. Crowl
Affiliations:
-
Venue:
IEEE Parallel & Distributed Technology: Systems & Technology
Year:
1994

Citing 7
Cited 3

Computing performance as a function of the speed, quantity, and cost of the processors

Proceedings of the 1989 ACM/IEEE conference on Supercomputing
Guidelines for reporting results of computational experiments. Report of the ad hoc committee

Mathematical Programming: Series A and B
Architectural adaptability in parallel programming

Architectural adaptability in parallel programming
Misleading performance in the supercomputing field

Proceedings of the 1992 ACM/IEEE conference on Supercomputing
Efficient parallel programming with Linda

Proceedings of the 1992 ACM/IEEE conference on Supercomputing
Scalable problems and memory-bounded speedup

Journal of Parallel and Distributed Computing
Scaling Parallel Programs for Multiprocessors: Methodology and Examples

Computer

A general framework to understand parallel performance in heterogeneous clusters: analysis of a new adaptive parallel genetic algorithm

Journal of Parallel and Distributed Computing
Distributed Partial Order Reduction for Security Protocols

Electronic Notes in Theoretical Computer Science (ENTCS)
Parallel fast-floquet analysis of trim and stability for large helicopter models

Mathematical and Computer Modelling: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Presentations of parallel performance can be easily and unintentionally distorted. Following some simple guidelines for measuring, presenting and comparing performance can greatly improve your presentation's accuracy and effectiveness.