Efficient clustering for ultra-scale application tracing

Author:

Bahmani Amir,Mueller Frank

Funder

NSF

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference37 articles.

1. A systematic multi-step methodology for performance analysis of communication traces of distributed applications based on hierarchical clustering;Aguilera,2006

2. Allinea. The distributed debugging tool (DDT) http://www.allinea.com.

3. Amir Bahmani, Frank Mueller, Scalable performance analysis of exascale mpi programs through signature-based clustering algorithms, in: ICS, 2014.

4. Nas parallel benchmark results;Bailey;IEEE Parallel Distrib. Technol., Syst. Appl.,1993

5. Performance optimization for large scale computing: The scalable vampir approach;Brunst,2001

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