Benchmarking Space Mission Applications on the Snapdragon Processor Onbaord the ISS

IF 1.3 4区 工程技术 Q2 ENGINEERING, AEROSPACE
Jason Swope, Faiz Mirza, Emily Dunkel, Alberto Candela, Steve Chien, Alexandra Holloway, Damon Russell, Joe Sauvageau, Douglas Sheldon, Mark Fernandez
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引用次数: 0

Abstract

Future space missions will process and analyze imagery on board as well as plan and act more autonomously, placing greater demands on flight computing. Traditional flight hardware provides modest computing power, even when compared to common laptop and desktop computers. A new generation of commercial-off-the-shelf (COTS) processors designed for commercial electronics such as cell phones and tablets, such as the Qualcomm Snapdragon, deliver significant compute in a small size, weight, and power; and they offer hardware acceleration in the form of graphics processing units and digital signal processors. We benchmark a variety of instrument processing and mission planning software on a Qualcomm Snapdragon system on a chip currently hosted by Hewlett Packard Enterprise’s Spaceborne Computer-2 on board the International Space Station to highlight the potential of using embedded COTS processors on future space missions.
基于国际空间站上的骁龙处理器对标空间任务应用
未来的太空任务将处理和分析机载图像,并更加自主地计划和行动,这对飞行计算提出了更高的要求。传统的飞行硬件提供适度的计算能力,即使与普通的笔记本电脑和台式电脑相比也是如此。专为手机和平板电脑等商用电子产品设计的新一代商用现货(COTS)处理器,如高通骁龙(Qualcomm Snapdragon),以较小的尺寸、重量和功耗提供了重要的计算能力;它们以图形处理单元和数字信号处理器的形式提供硬件加速。我们在高通骁龙系统上对各种仪器处理和任务规划软件进行了基准测试,该芯片目前由国际空间站上的惠普企业星载计算机-2托管,以突出在未来太空任务中使用嵌入式COTS处理器的潜力。
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来源期刊
CiteScore
3.70
自引率
13.30%
发文量
58
审稿时长
>12 weeks
期刊介绍: This Journal is devoted to the dissemination of original archival research papers describing new theoretical developments, novel applications, and case studies regarding advances in aerospace computing, information, and networks and communication systems that address aerospace-specific issues. Issues related to signal processing, electromagnetics, antenna theory, and the basic networking hardware transmission technologies of a network are not within the scope of this journal. Topics include aerospace systems and software engineering; verification and validation of embedded systems; the field known as ‘big data,’ data analytics, machine learning, and knowledge management for aerospace systems; human-automation interaction and systems health management for aerospace systems. Applications of autonomous systems, systems engineering principles, and safety and mission assurance are of particular interest. The Journal also features Technical Notes that discuss particular technical innovations or applications in the topics described above. Papers are also sought that rigorously review the results of recent research developments. In addition to original research papers and reviews, the journal publishes articles that review books, conferences, social media, and new educational modes applicable to the scope of the Journal.
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