Predictive Performance and Scalability Modeling of a Large-Scale Application
By D. Kerbyson, H. Alme, A. Hoisie, Fabrizio Petrini, H. Wasserman, M. Gittings. International Conference on Software Composition, 2001
330 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/314141df6b40f6e67cfc1620a8970f589970a50f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Rolf Riesen
- R. Brightwell
- Dorian C. Arnold
- Fabrizio Petrini
- Jon Stearley
- Kurt B. Ferreira
- Ron A. Oldfield
- Kevin T. Pedretti
Citations in the corpus
- GridFlow: workflow management for grid computing (2003, methodology): “PACE has been validated using ASCI high performance computing applications [4, 15 ].”
- The Case of the Missing Supercomputer Performance: Achieving Optimal Performance on the 8,192 Processors of ASCI Q (2003, methodology): “From the testing of the first ASCI Q hardware in March 2001, performance models of several applications representative of the ASCI workload were used to provide an expectation of the performance that should be achievable on the full-scale system [7, 9].”
- Evaluating the viability of process replication reliability for exascale systems (2011, methodology): “Examining the best protocol for each application, SAGE has the highest net overhead, 2.2% at 2048 application-visible nodes.”