Author:
Klenk Benjamin,Fröning Holger
Publisher
Springer International Publishing
Reference19 articles.
1. The opportunities and challenges of exascale computing, summary report of the advanced scientific computing advisory committee (ASCAC) subcommittee at the US DOE Office of Science. Technical report (2010)
2. Klenk, B., Oden, L., Fröning, H.: Analyzing communication models for distributed thread-collaborative processors in terms of energy and time. In: IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Philadelphia, PA (2015)
3. Flajslik, M., Dinan, J., Underwood, K.D.: Mitigating MPI message matching misery. In: International Conference on High Performance Computing (ISC), Frankfurt, Germany (2016)
4. Bayatpour, M., Subramoni, H., Chakraborty, S., Panda, D.K.: Adaptive and dynamic design for MPI tag matching. In: 2016 IEEE International Conference on Cluster Computing (CLUSTER) (2016)
5. U.S. DOE: Characterization of the DOE Mini-apps. https://portal.nersc.gov/project/CAL/doe-miniapps.htm. Accessed 25 Oct 2016
Cited by
26 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. Accelerating multivariate functional approximation computation with domain decomposition techniques;Journal of Computational Science;2024-06
2. Using Mixed-Radix Decomposition to Enumerate Computational Resources of Deeply Hierarchical Architectures;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12
3. Generalized Collective Algorithms for the Exascale Era;2023 IEEE International Conference on Cluster Computing (CLUSTER);2023-10-31
4. Investigating the Usage of MPI at Argument-Granularity in HPC Codes;Proceedings of the 30th European MPI Users' Group Meeting;2023-09-11
5. OMPICollTune: Autotuning MPI Collectives by Incremental Online Learning;2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS);2022-11