首页> 外文会议>2016 Fourth International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering >The Scalability-Efficiency/Maintainability-Portability Trade-Off in Simulation Software Engineering: Examples and a Preliminary Systematic Literature Review
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The Scalability-Efficiency/Maintainability-Portability Trade-Off in Simulation Software Engineering: Examples and a Preliminary Systematic Literature Review

机译:仿真软件工程中的可伸缩性/效率/可维护性-可移植性的权衡:示例和初步系统文献综述

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Large-scale simulations play a central role in science and the industry. Several challenges occur when building simulation software, because simulations require complex software developed in a dynamic construction process. That is why simulation software engineering (SSE) is emerging lately as a research focus. The dichotomous trade-off between scalability and efficiency (SE) on the one hand and maintainability and portability (MP) on the other hand is one of the core challenges. We report on the SE/MP trade-off in the context of an ongoing systematic literature review (SLR). After characterizing the issue of the SE/MP trade-off using two examples from our own research, we (1) review the 33 identified articles that assess the trade-off, (2) summarize the proposed solutions for the tradeoff, and (3) discuss the findings for SSE and future work. Overall, we see evidence for the SE/MP trade-off and first solution approaches. However, a strong empirical foundation has yet to be established; general quantitative metrics and methods supporting software developers in addressing the trade-off have to be developed. We foresee considerable future work in SSE across scientific communities.
机译:大型仿真在科学和行业中起着核心作用。构建仿真软件时会遇到一些挑战,因为仿真需要在动态构建过程中开发复杂的软件。这就是为什么仿真软件工程(SSE)最近成为研究重点的原因。一方面,可伸缩性和效率(SE)与另一方面,可维护性和可移植性(MP)之间的二分法取舍是核心挑战之一。我们在进行中的系统文献综述(SLR)的背景下报告SE / MP的权衡。在使用我们自己的研究中的两个示例表征SE / MP权衡问题之后,我们(1)回顾了33篇评估权衡的已确定文章,(2)总结了权衡的建议解决方案,以及(3 )讨论上证所和未来工作的发现。总体而言,我们看到了SE / MP权衡和第一个解决方案的证据。但是,尚未建立坚实的经验基础。必须开发支持软件开发人员解决折衷方案的通用量化指标和方法。我们预计科学界将在SSE上开展大量工作。

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