Projects per year
Abstract
Predicting the resources that are consumed by a program component is crucial for many parallel or distributed systems. In this context, the main resources of interest are execution time, space and communication/synchronisation costs. There has recently been significant progress in resource analysis technology, notably in type-based analyses and abstract interpretation. At the same time, parallel and distributed computing are becoming increasingly important.
This paper synthesises progress in both areas to survey the state-of-the-art in resource analysis for parallel and distributed computing. We articulate a general model of resource analysis and describe parallel/distributed resource analysis together with the relationship to sequential analysis. We use three parallel or distributed resource analyses as examples and provide a critical evaluation of the analyses. We investigate why the chosen analysis is effective for each application and identify general principles governing why the resource analysis is effective.
This paper synthesises progress in both areas to survey the state-of-the-art in resource analysis for parallel and distributed computing. We articulate a general model of resource analysis and describe parallel/distributed resource analysis together with the relationship to sequential analysis. We use three parallel or distributed resource analyses as examples and provide a critical evaluation of the analyses. We investigate why the chosen analysis is effective for each application and identify general principles governing why the resource analysis is effective.
Original language | English |
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Pages (from-to) | 309-348 |
Number of pages | 40 |
Journal | Concurrency and Computation : Practice and Experience |
Volume | 25 |
Issue number | 3 |
Early online date | 22 Dec 2011 |
DOIs | |
Publication status | Published - Mar 2013 |
Keywords
- Resource analysis
- Cost models
- Parallelism
- Distributed systems
Fingerprint
Dive into the research topics of 'Resource Analyses for Parallel and Distributed Coordination'. Together they form a unique fingerprint.Projects
- 4 Finished
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FP7 ADVANCE: EU FP7 'Asynchronous and Dynamic Virtualisation through performance Analysis to support Concurrency Engineering 'ADVANCE'
Hammond, K. (PI) & Brady, E. C. (CoI)
1/02/10 → 30/09/13
Project: Standard
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HPC-GAP: High performance computational: HPC-GAP High Performance Computational Algebra and Discrete Mathematics
Linton, S. A. (PI), Gent, I. P. (CoI) & Hammond, K. (CoI)
1/09/09 → 28/02/14
Project: Standard