The Landscape of Exascale Research: A Data-Driven Literature Analysis
| Autor: | Stijn Heldens, Adam Belloum, Pieter Hijma, Ben van Werkhoven, Rob V. van Nieuwpoort, Jason Maassen |
|---|---|
| Přispěvatelé: | Multiscale Networked Systems (IvI, FNWI), System and Network Engineering (IVI, FNWI), Computer Systems, Network Institute, High Performance Distributed Computing, Mathematics |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
data-driven analysis
020203 distributed computing General Computer Science Research areas Computer science literature review high-performance computing Fault tolerance 02 engineering and technology FLOPS Supercomputer Data science Exascale computing Additional research Theoretical Computer Science Data-driven 020204 information systems extreme-scale computing 0202 electrical engineering electronic engineering information engineering SDG 7 - Affordable and Clean Energy Efficient energy use |
| Zdroj: | ACM Computing Surveys, 53(2):23. Association for Computing Machinery (ACM) ACM Computing Surveys, 53(2):23, 1-43. Association for Computing Machinery (ACM) Heldens, S, Hijma, P, Werkhoven, B V, Maassen, J, Belloum, A S Z & Van Nieuwpoort, R V 2020, ' The Landscape of Exascale Research : A Data-Driven Literature Analysis ', ACM Computing Surveys, vol. 53, no. 2, 23, pp. 1-43 . https://doi.org/10.1145/3372390 |
| ISSN: | 1557-7341 0360-0300 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|