Impact of Reduced and Mixed-Precision on the Efficiency of a Multi-GPU Platform on CFD Applications
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-10542-5_39
Reference40 articles.
1. Abdelfattah, A., Tomov, S., Dongarra, J.: Fast batched matrix multiplication for small sizes using half-precision arithmetic on GPUs. In: 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 111–122, May 2019. https://doi.org/10.1109/IPDPS.2019.00022
2. Anzt, H., Rocker, B., Heuveline, V.: Energy efficiency of mixed precision iterative refinement methods using hybrid hardware platforms. Comput. Sci. Res. Dev. 25(3), 141–148 (2010). https://doi.org/10.1007/s00450-010-0124-2
3. Babich, R., Clark, M.A., Joó, B., Shi, G., Brower, R.C., Gottlieb, S.: Scaling lattice QCD beyond 100 GPUs. In: Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2011, pp. 70:1–70:11. ACM, New York, NY, USA (2011). https://doi.org/10.1145/2063384.2063478, http://doi.acm.org/10.1145/2063384.2063478
4. Babich, R., Clark, M.A., Joó, B.: Parallelizing the QUDA library for multi-GPU calculations in lattice quantum chromodynamics. In: Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2010, pp. 1–11. IEEE Computer Society, Washington, DC, USA (2010). https://doi.org/10.1109/SC.2010.40
5. Baboulin, M., et al.: Accelerating scientific computations with mixed precision algorithms. Comput. Phys. Commun. 180(12), 2526–2533 (2009). https://doi.org/10.1016/j.cpc.2008.11.005, http://www.sciencedirect.com/science/article/pii/S0010465508003846
Cited by 4 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. Enhancing computational efficiency in 3-D seismic modelling with half-precision floating-point numbers based on the curvilinear grid finite-difference method;Geophysical Journal International;2024-07-05
2. Influence of adversarial training on super-resolution turbulence reconstruction;Physical Review Fluids;2024-06-04
3. On the importance of data encoding in quantum Boltzmann methods;Quantum Information Processing;2024-01-11
4. Mixed precision support in HPC applications: What about reliability?;Journal of Parallel and Distributed Computing;2023-11
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