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dc.contributor.authorSivasubramaniam, Ananden_US
dc.contributor.authorRamachandran, Umakishore
dc.contributor.authorVenkateswaran, H.
dc.date.accessioned2005-06-17T17:59:32Z
dc.date.available2005-06-17T17:59:32Z
dc.date.issued1994en_US
dc.identifier.urihttp://hdl.handle.net/1853/6730
dc.description.abstractThis paper presents a comparative and qualitative survey of techniques for evaluating parallel systems. We also survey metrics that have been proposed for capturing and quantifying the details of complex parallel system interactions. Experimentation, theoretical/analytical modeling and simulation are three frequently used techniques in performance evaluation. Experimentation uses real or synthetic workloads, usually called benchmarks, to measure and analyze their performance on actual hardware. Theoretical and analytical models are used to abstract details of a parallel system, providing the view of a simplified system parameterized by a limited number of degrees of freedom that are kept tractable. Simulation and related performance monitoring/visualization tools have become extremely popular because of their ability to capture the dynamic nature of the interaction between applications and architectures. We first present the figures of merit that are important for any performance evaluation technique. With respect to these figures of merit, we survey the three techniques and make a qualitative comparison of their pros and cons. In particular, for each of the above techniques we discuss: representative case studies; the underlying models that are used for the workload and the architecture; the feasibility and ease of quantifying standard performance metrics from the available statistics; the accuracy/validity of the output statistics; and the cost/effort that is expended in each evaluation strategy.en_US
dc.format.extent190280 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesCC Technical Report; GIT-CC-94-38en_US
dc.subjectParallel systems
dc.subjectPerformance metrics
dc.subjectPerformance studies
dc.subjectExperimentation
dc.subjectSimulations
dc.subjectTheoretical/analytical models
dc.titleA Comparative Evaluation of Techniques for Studying Parallel Systemsen_US
dc.typeTechnical Reporteng_US


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