HPAS

Author:

Ates Emre1,Zhang Yijia1,Aksar Burak1,Brandt Jim2,Leung Vitus J.2,Egele Manuel1,Coskun Ayse K.1

Affiliation:

1. Boston University, Dept. of Electrical and Computer Eng., Boston, MA, USA

2. Sandia National Laboratories, Albuquerque, NM, USA

Publisher

ACM

Reference52 articles.

1. The Lightweight Distributed Metric Service: A Scalable Infrastructure for Continuous Monitoring of Large Scale Computing Systems and Applications

2. Bob Alverson Edwin Froese Larry Kaplan and Duncan Roweth. 2012. Cray XC series network. https://www.cray.com/sites/default/files/resources/CrayXCNetwork.pdf Bob Alverson Edwin Froese Larry Kaplan and Duncan Roweth. 2012. Cray XC series network. https://www.cray.com/sites/default/files/resources/CrayXCNetwork.pdf

3. A. Bhatele K. Mohror S. H. Langer and K. E. Isaacs. 2013. There goes the neighborhood: Performance degradation due to nearby jobs. In SC. 1--12. 10.1145/2503210.2503247 A. Bhatele K. Mohror S. H. Langer and K. E. Isaacs. 2013. There goes the neighborhood: Performance degradation due to nearby jobs. In SC. 1--12. 10.1145/2503210.2503247

4. D. M. Blough and Peng Liu. 2000. FIMD-MPI: a tool for injecting faults into MPI application. In IPDPS. 241--247. D. M. Blough and Peng Liu. 2000. FIMD-MPI: a tool for injecting faults into MPI application. In IPDPS. 241--247.

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1. DeepHYDRA: A Hybrid Deep Learning and DBSCAN-Based Approach to Time-Series Anomaly Detection in Dynamically-Configured Systems;Proceedings of the 38th ACM International Conference on Supercomputing;2024-05-30

2. Performance Analysis of the NVIDIA HPC SDK and AMD AOCC Compilers in an HPC Cluster Using Pooled, Robust and Relative Metrics;2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2024-05-27

3. Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning;IEEE Transactions on Parallel and Distributed Systems;2024-04

4. Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

5. Towards Practical Machine Learning Frameworks for Performance Diagnostics in Supercomputers;Proceedings of the First Workshop on AI for Systems;2023-08-10

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