Fork-Join and Data-Driven Execution Models on Multi-core Architectures: Case Study of the FMM

Author:

Amer Abdelhalim,Maruyama Naoya,Pericàs Miquel,Taura Kenjiro,Yokota Rio,Matsuoka Satoshi

Publisher

Springer Berlin Heidelberg

Reference28 articles.

1. Dehnen, W.: A hierarchical o(n) force calculation algorithm. Journal of Computational Physics 179(1), 27–42 (2002)

2. Chaillat, S., Bonnet, M., Semblat, J.F.: A multi-level fast multipole bem for 3-d elastodynamics in the frequency domain. Computer Methods in Applied Mechanics and Engineering 197, 4233–4249 (2008)

3. Yokota, R., Narumi, T., Barba, L.A., Yasuoka, K.: Petascale turbulence simulation using a highly parallel fast multipole method (2011)

4. Chandramowlishwaran, A., Williams, S., Oliker, L., Lashuk, I., Biros, G., Vuduc, R.: Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures. In: 2010 IEEE International Symposium on Parallel Distributed Processing (IPDPS), pp. 1–12 (April 2010)

5. Chandramowlishwaran, A., Madduri, K., Vuduc, R.: Diagnosis, tuning, and redesign for multicore performance: A case study of the fast multipole method. In: Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2010, pp. 1–12. IEEE Computer Society, Washington, DC (2010)

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Measurement-Based Power Optimization Technique for OpenCV on Heterogeneous Multicore Processor;Symmetry;2019-12-06

2. Argobots: A Lightweight Low-Level Threading and Tasking Framework;IEEE Transactions on Parallel and Distributed Systems;2018-03-01

3. Revision of DASHMM: Dynamic Adaptive System for Hierarchical Multipole Methods;Communications in Computational Physics;2018

4. Scalable Hierarchical Multipole Methods Using an Asynchronous Many-Tasking Runtime System;2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2017-05

5. DASHMM: Dynamic Adaptive System for Hierarchical Multipole Methods;Communications in Computational Physics;2016-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3