Author:
Huck Kevin A.,Malony Allen D.,Shende Sameer,Morris Alan
Publisher
Springer Berlin Heidelberg
Reference13 articles.
1. Shende, S., Malony, A.D.: The tau parallel performance system. The International Journal of High Performance Computing Applications (to appear, 2005)
2. KOJAK: Kojak (2006),
http://www.fz-jeulick.de/zam/kojak/
3. Wismuller, R., Trinitis, J., Ludwig, T.: Ocm – a monitoring system for interoperable tools. In: Proceedings 2nd SIGMETRICS Symposium on Parallel and Distributed Tools (SPDT 1998), pp. 1–9 (1998)
4. Miller, B., Callaghan, M., Cargille, J., Hollingsworth, J., Irvin, R., Karavanic, K., Kunchithapadam, K., Newhall, T.: The paradyn parallel performance measurement tool. Computer 28(11), 37–46 (1995)
5. Roth, P., Miller, B.: On-line automated performance diagnosis on thousands of processes. In: Proceedings 11th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp. 69–80 (2006)
Cited by
6 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. Computational reproducibility of scientific workflows at extreme scales;The International Journal of High Performance Computing Applications;2019-04-08
2. Running resilient MPI applications on a Dynamic Group of Recommended Processes;Journal of the Brazilian Computer Society;2018-03-12
3. Seastar;Proceedings of the 7th International Workshop on Runtime and Operating Systems for Supercomputers ROSS 2017;2017-06-27
4. WOWMON: A Machine Learning-based Profiler for Self-adaptive Instrumentation of Scientific Workflows;Procedia Computer Science;2016
5. A framework for scalable, parallel performance monitoring;Concurrency and Computation: Practice and Experience;2009