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- research-articleNovember 2014
Finding constant from change: revisiting network performance aware optimizations on IaaS clouds
SC '14: Proceedings of the International Conference for High Performance Computing, Networking, Storage and AnalysisPages 982–993https://doi.org/10.1109/SC.2014.85Network performance aware optimizations have long been an effective approach to optimizing distributed applications on traditional network environments. However, the assumptions of network topology or direct use of several measurements of pair-wise ...
- research-articleNovember 2014
Maximizing throughput on a dragonfly network
SC '14: Proceedings of the International Conference for High Performance Computing, Networking, Storage and AnalysisPages 336–347https://doi.org/10.1109/SC.2014.33Interconnection networks are a critical resource for large supercomputers. The dragonfly topology, which provides a low network diameter and large bisection bandwidth, is being explored as a promising option for building multi-Petaflop/s and Exaflop/s ...
- research-articleNovember 2014
The lightweight distributed metric service: a scalable infrastructure for continuous monitoring of large scale computing systems and applications
- 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,
- Tom Tucker
SC '14: Proceedings of the International Conference for High Performance Computing, Networking, Storage and AnalysisPages 154–165https://doi.org/10.1109/SC.2014.18Understanding how resources of High Performance Compute platforms are utilized by applications both individually and as a composite is key to application and platform performance. Typical system monitoring tools do not provide sufficient fidelity while ...
- research-articleNovember 2014
Cypress: combining static and dynamic analysis for top-down communication trace compression
SC '14: Proceedings of the International Conference for High Performance Computing, Networking, Storage and AnalysisPages 143–153https://doi.org/10.1109/SC.2014.17Communication traces are increasingly important, both for parallel applications' performance analysis/optimization, and for designing next-generation HPC systems. Meanwhile, the problem size and the execution scale on supercomputers keep growing, ...