ScrubJay
Author:
Affiliation:
1. University of California
2. Lawrence Livermore National Laboratory
3. University of Oregon
4. Technische Universität München
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3126908.3126935
Reference27 articles.
1. Anthony Agelastos Benjamin Allan Jim Brandt Paul Cassella Jeremy Enos Joshi Fullop Ann Gentile Steve Monk Nichamon Naksinehaboon Jeff Ogden Mahesh Rajan Michael Showerman Joel Stevenson Narate Taerat and Tom Tucker. 2014. The Lightweight Distributed Metric Service: A Scalable Infrastructure for Continuous Monitoring of Large Scale Computing Systems and Applications. In Supercomputing. 10.1109/SC.2014.18 Anthony Agelastos Benjamin Allan Jim Brandt Paul Cassella Jeremy Enos Joshi Fullop Ann Gentile Steve Monk Nichamon Naksinehaboon Jeff Ogden Mahesh Rajan Michael Showerman Joel Stevenson Narate Taerat and Tom Tucker. 2014. The Lightweight Distributed Metric Service: A Scalable Infrastructure for Continuous Monitoring of Large Scale Computing Systems and Applications. In Supercomputing. 10.1109/SC.2014.18
2. AutomaDeD: Automata-based debugging for dissimilar parallel tasks
3. PerfExpert: An Easy-to-Use Performance Diagnosis Tool for HPC Applications
Cited by 8 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. Optimizing job scheduling by using broad learning to predict execution times on HPC clusters;CCF Transactions on High Performance Computing;2023-02-23
2. A Fault-Model-Relevant Classification of Consensus Mechanisms for MPI and HPC;International Journal of Parallel Programming;2022-12-12
3. Operational Data Analytics in practice: Experiences from design to deployment in production HPC environments;Parallel Computing;2022-10
4. Monitoring Large Scale Supercomputers: A Case Study with the Lassen Supercomputer;2021 IEEE International Conference on Cluster Computing (CLUSTER);2021-09
5. DCDB Wintermute: Enabling Online and Holistic Operational Data Analytics on HPC Systems;Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing;2020-06-21
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