Academic Journal
The Landscape of Exascale Research ; A Data-Driven Literature Analysis
| العنوان: | The Landscape of Exascale Research ; A Data-Driven Literature Analysis |
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| المؤلفون: | Heldens, Stijn, Hijma, Pieter, Werkhoven, Ben Van, Maassen, Jason, Belloum, Adam S. Z., Van Nieuwpoort, Rob V. |
| المساهمون: | European Union's Horizon 2020 research and innovation programme, European Union's Horizon 2020 research and innovation programm, Netherlands eScience Center |
| المصدر: | ACM Computing Surveys ; volume 53, issue 2, page 1-43 ; ISSN 0360-0300 1557-7341 |
| بيانات النشر: | Association for Computing Machinery (ACM) |
| سنة النشر: | 2020 |
| الوصف: | The next generation of supercomputers will break the exascale barrier. Soon we will have systems capable of at least one quintillion (billion billion) floating-point operations per second (10 18 FLOPS). Tremendous amounts of work have been invested into identifying and overcoming the challenges of the exascale era. In this work, we present an overview of these efforts and provide insight into the important trends, developments, and exciting research opportunities in exascale computing. We use a three-stage approach in which we (1) discuss various exascale landmark studies, (2) use data-driven techniques to analyze the large collection of related literature, and (3) discuss eight research areas in depth based on influential articles. Overall, we observe that great advancements have been made in tackling the two primary exascale challenges: energy efficiency and fault tolerance. However, as we look forward, we still foresee two major concerns: the lack of suitable programming tools and the growing gap between processor performance and data bandwidth (i.e., memory, storage, networks). Although we will certainly reach exascale soon, without additional research, these issues could potentially limit the applicability of exascale computing. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1145/3372390 |
| الاتاحة: | http://dx.doi.org/10.1145/3372390 https://dl.acm.org/doi/pdf/10.1145/3372390 |
| رقم الانضمام: | edsbas.1483E85 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1145/3372390 |
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