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» Scaling Science Applications on Blue Gene
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CLUSTER
2008
IEEE
14 years 1 months ago
A trace-driven emulation framework to predict scalability of large clusters in presence of OS Jitter
—Various studies have pointed out the debilitating effects of OS Jitter on the performance of parallel applications on large clusters such as the ASCI Purple and the Mare Nostrum...
Pradipta De, Ravi Kothari, Vijay Mann
PVM
2010
Springer
13 years 5 months ago
Toward Performance Models of MPI Implementations for Understanding Application Scaling Issues
Abstract. Designing and tuning parallel applications with MPI, particularly at large scale, requires understanding the performance implications of different choices of algorithms ...
Torsten Hoefler, William Gropp, Rajeev Thakur, Jes...
ICCS
2007
Springer
14 years 1 months ago
Enabling Very-Large Scale Earthquake Simulations on Parallel Machines
Abstract. The Southern California Earthquake Center initiated a major largescale earthquake simulation called TeraShake. The simulations propagated seismic waves across a domain of...
Yifeng Cui, Reagan Moore, Kim Olsen, Amit Chourasi...
EUROPAR
2006
Springer
13 years 11 months ago
Hierarchical Model Validation of Symbolic Performance Models of Scientific Kernels
Multi-resolution validation of hierarchical performance models of scientific applications is critical primarily for two reasons. First, the step-by-step validation determines the c...
Sadaf R. Alam, Jeffrey S. Vetter
CORR
2008
Springer
142views Education» more  CORR 2008»
13 years 7 months ago
A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
Danny Bickson, Elad Yom-Tov, Danny Dolev