Communications of the ACM
Introduction to parallel computing
Introduction to parallel computing
Introduction to parallel computing: design and analysis of algorithms
Introduction to parallel computing: design and analysis of algorithms
Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
Parallel Algorithms and Architectures
Parallel Algorithms and Architectures
Isoefficiency: Measuring the Scalability of Parallel Algorithms and Architectures
IEEE Parallel & Distributed Technology: Systems & Technology
Beyond Execution Time: Expanding the Use of Performance Models
IEEE Parallel & Distributed Technology: Systems & Technology
Performance Metrics: Keeping the Focus on Runtime
IEEE Parallel & Distributed Technology: Systems & Technology
Application of parallel technologies to modeling lithosphere dynamics and seismicity
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part II
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In the past years computing has been moving from the sequential world to the parallel one, from centralised organisation to a decentralised. In parallel programming the goal of the design process cannot be reduced to optimise a single metrics like for example speed. While evaluating a parallel program a problem specific function of execution time, memory requirements, communication cost, implementation cost, and others have to be taken into consideration. The paper deals with the use of an idea of program granularity in the evaluation of parallel programs. The obtained results suggest that the presented method can be used for performance evaluation of parallel programs.