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Baek, Woongki
Computer Architecture and Systems Lab (CASL)
Research Interests
  • Computer architecture, system software, programming models, applications

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Analyzing and optimizing the performance and energy efficiency of transactional scientific applications on large-scale NUMA systems with HTM support

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Title
Analyzing and optimizing the performance and energy efficiency of transactional scientific applications on large-scale NUMA systems with HTM support
Author
Park, JinsuBaek, Woongki
Issue Date
2019-05
Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
Citation
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, v.127, pp.1 - 17
Abstract
Hardware transactional memory (HTM) is widely supported by commodity processors. While the effectiveness of HTM has been evaluated based on small-scale multi-core systems, it still remains unexplored to quantify the performance and energy efficiency of HTM for scientific workloads on large-scale NUMA systems, which have been increasingly adopted to high-performance computing. To bridge this gap, this work investigates the performance and energy-efficiency impact of HTM on scientific applications on large-scale NUMA systems. Specifically, we quantify the performance and energy efficiency of HTM for scientific workloads based on the widely-used CLOMP-TM benchmark. We then discuss a set of generic software optimizations, which effectively improve the performance and energy efficiency of transactional scientific workloads on large-scale NUMA systems. Further, we present case studies in which we apply a set of the performance and energy-efficiency optimizations to representative transactional scientific applications and investigate the potential for high-performance and energy-efficient runtime support.
URI
https://scholarworks.unist.ac.kr/handle/201301/25852
URL
https://www.sciencedirect.com/science/article/pii/S0743731518304635?via%3Dihub
DOI
10.1016/j.jpdc.2018.12.007
ISSN
0743-7315
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ECE_Journal Papers
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