A Framework for Measuring Supercomputer Productivity

Snir, Marc; Bader, David A.

doi:10.1177/1094342004048535

Cited by 35 publications

(14 citation statements)

References 22 publications

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“…Moreover, there are also some works on programmability in HPC devoted to the proposal and analysis of different metrics [6], [7] and the design of specific benchmarks [8]. An interesting conclusion from some of these studies is that a language is considered to be good in terms of programmability if it contains expressive constructs which allow a more compact and simple coding, hence making lowlevel complexity transparent to the user.…”

Section: Programmability In Hpcmentioning

confidence: 99%

Evaluation of UPC programmability using classroom studies

Teijeiro

Taboada

Touriño

et al. 2009

Proceedings of the Third Conference on Partitioned Global Address Space Programing Models

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Abstract-The study of a language in terms of programmability is a very interesting issue in parallel programming. Traditional approaches in this field have studied different methods, such as the number of Lines of Code or the analysis of programs, in order to prove the benefits of using a paradigm compared to another. Nevertheless, these methods usually focus only on code analysis, without giving much importance to the conditions of the development process and even to the learning stage, or the benefits and disadvantages of the language reported by the programmers. In this paper we present a methodology to accomplish a programmability study with UPC (Unified Parallel C) through the use of classroom studies with a group of novice UPC programmers. This work will show the design of these sessions and the analysis of the results obtained (code analysis and survey responses). Thus, it is possible to characterize the current benefits and disadvantages of UPC, as well as to report some desirable features that could be included in this language standard.

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Section: Programmability In Hpcmentioning

confidence: 99%

Evaluation of UPC programmability using classroom studies

Teijeiro

Taboada

Touriño

et al. 2009

Proceedings of the Third Conference on Partitioned Global Address Space Programing Models

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“…This is shown in Fig. 10 and expressed in equation (16). Similarly, the computational effort expended by the tool is the work done by the tool to cause the displacement D k in the specifications space, see Fig.…”

Section: Work Progress Ratementioning

confidence: 99%

“…operations. While Snir and Bader [16] defined productivity of a system as the time dependent utility of the answers it produces divided by the total lifetime cost. Kennedy et.…”

Section: Related Workmentioning

confidence: 99%

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A Framework for Evaluating High-Level Design Methodologies for High-Performance Reconfigurable Computers

El-Araby

Merchant

El‐Ghazawi

2011

IEEE Trans. Parallel Distrib. Syst.

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Abstract-High-performance reconfigurable computers have potential to provide substantial performance improvements over traditional supercomputers. Their acceptance, however, has been hindered by productivity challenges arising from increased design complexity, a wide array of custom design languages and tools, and often overblown sales literature. This paper presents a review and taxonomy of High-Level Languages (HLLs) and a framework for the comparative analysis of their features. It also introduces new metrics and a model based on computational effort. The proposed concepts are inspired by Netwon's equations of motion and the notion of work and power in an abstract multi-dimensional space of design specifications. The metrics are devised to highlight two aspects of the design process; the total time-to-solution and the efficient utilization of user and computing resources at discrete time steps along the development path. The study involves analytical and experimental evaluations demonstrating the applicability of the proposed model.

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“…Snir and Bader are one example of using utility theory to the problem of developing a model of productivity [10]. Cost is the cost of developing the solution plus the cost of using the system, but the value is the utility preference of a stakeholder (e.g., Laboratory director) to the work performed by the system.…”

Section: Utility Valuesmentioning

confidence: 99%

Combining self-reported and automatic data to improve programming effort measurement

Hochstein

Basili

Zelkowitz

et al. 2005

Proceedings of the 10th European Software Engineering Conference Held Jointly With 13th ACM SIGSOFT International Symposium on

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In the high performance computing domain, the speed of execution of a program has typically been the primary performance metric. But productivity is also of concern to high performance computing developers. In this paper we will discuss the problems of defining and measuring productivity for these machines and we develop a model of productivity that includes both a performance component and a component that measures the development time of the program. We ran several experiments using students in high performance courses at several universities, and we report on those results with respect to our model of productivity.

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A Framework for Measuring Supercomputer Productivity

Cited by 35 publications

References 22 publications

Evaluation of UPC programmability using classroom studies

Evaluation of UPC programmability using classroom studies

A Framework for Evaluating High-Level Design Methodologies for High-Performance Reconfigurable Computers

Combining self-reported and automatic data to improve programming effort measurement

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