An integrated taxonomy of standard indicators for ranking and selecting supercomputers

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Davood Maleki, Alireza Mansouri, Ehsan Arianyan
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引用次数: 0

Abstract

Due to the ever-increasing computing requirements of modern applications, supercomputers are at the centre of attraction as a platform for high-performance computing. Although various features and indicators for testing and evaluating supercomputers are proposed in the literature, a comprehensive feature set to guide designers in comparing supercomputers and selecting an appropriate choice is not provided. Here, an integrated feature-based taxonomy comprised of seven indicator groups including passive infrastructure, hardware, software, support and maintenance, service, business, and security features is proposed. Also, a case study using our proposed framework is provided and a comparison between some commercial and research supercomputers including Fugaku's ideal supercomputer, Sharif supercomputer, Aramco supercomputer, and ITU supercomputer is presented. Moreover, here, the authors’ proposed method is compared with the Top500 method, which shows that the authors’ proposed method facilitates the ranking, comparison, and selection of the appropriate supercomputer in various fields by considering various aspects of design and implementation. The ranking results show that Aramco supercomputer, ITU supercomputer, and Sharif supercomputer have 65.9%, 57.6%, and 48.2% of ideal supercomputer points, respectively.

Abstract Image

超级计算机排名和选择标准指标的综合分类法
由于现代应用程序对计算的需求不断增加,超级计算机作为高性能计算平台成为吸引人的焦点。尽管文献中提出了测试和评估超级计算机的各种特征和指标,但没有提供一个全面的特征集来指导设计者比较超级计算机并选择合适的选择。在此,提出了一个基于功能的集成分类法,该分类法由七个指标组组成,包括被动基础设施、硬件、软件、支持和维护、服务、业务和安全功能。此外,还使用我们提出的框架进行了案例研究,并对一些商业和研究超级计算机进行了比较,包括Fugaku的理想超级计算机、Sharif超级计算机、Aramco超级计算机和ITU超级计算机。此外,在这里,作者提出的方法与Top500方法进行了比较,这表明作者提出的算法通过考虑设计和实现的各个方面,有助于在各个领域对合适的超级计算机进行排名、比较和选择。排名结果显示,阿美超级计算机、国际电联超级计算机和谢里夫超级计算机的理想超级计算机点数分别为65.9%、57.6%和48.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IET Computers and Digital Techniques
IET Computers and Digital Techniques 工程技术-计算机:理论方法
CiteScore
3.50
自引率
0.00%
发文量
12
审稿时长
>12 weeks
期刊介绍: IET Computers & Digital Techniques publishes technical papers describing recent research and development work in all aspects of digital system-on-chip design and test of electronic and embedded systems, including the development of design automation tools (methodologies, algorithms and architectures). Papers based on the problems associated with the scaling down of CMOS technology are particularly welcome. It is aimed at researchers, engineers and educators in the fields of computer and digital systems design and test. The key subject areas of interest are: Design Methods and Tools: CAD/EDA tools, hardware description languages, high-level and architectural synthesis, hardware/software co-design, platform-based design, 3D stacking and circuit design, system on-chip architectures and IP cores, embedded systems, logic synthesis, low-power design and power optimisation. Simulation, Test and Validation: electrical and timing simulation, simulation based verification, hardware/software co-simulation and validation, mixed-domain technology modelling and simulation, post-silicon validation, power analysis and estimation, interconnect modelling and signal integrity analysis, hardware trust and security, design-for-testability, embedded core testing, system-on-chip testing, on-line testing, automatic test generation and delay testing, low-power testing, reliability, fault modelling and fault tolerance. Processor and System Architectures: many-core systems, general-purpose and application specific processors, computational arithmetic for DSP applications, arithmetic and logic units, cache memories, memory management, co-processors and accelerators, systems and networks on chip, embedded cores, platforms, multiprocessors, distributed systems, communication protocols and low-power issues. Configurable Computing: embedded cores, FPGAs, rapid prototyping, adaptive computing, evolvable and statically and dynamically reconfigurable and reprogrammable systems, reconfigurable hardware. Design for variability, power and aging: design methods for variability, power and aging aware design, memories, FPGAs, IP components, 3D stacking, energy harvesting. Case Studies: emerging applications, applications in industrial designs, and design frameworks.
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