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ICCS
2003
Springer
13 years 10 months ago
A Performance Prediction Framework for Scientific Applications
This work presents a performance modeling framework, developed by the Performance Modeling and Characterization (PMaC) Lab at the San Diego Supercomputer Center, that is faster tha...
Laura Carrington, Allan Snavely, Xiaofeng Gao, Nic...
CSE
2011
IEEE
12 years 4 months ago
Performance Modeling of Hybrid MPI/OpenMP Scientific Applications on Large-scale Multicore Cluster Systems
In this paper, we present a performance modeling framework based on memory bandwidth contention time and a parameterized communication model to predict the performance of OpenMP, M...
Xingfu Wu, Valerie E. Taylor
HPCC
2007
Springer
13 years 8 months ago
An Exploration of Performance Attributes for Symbolic Modeling of Emerging Processing Devices
Vector, emerging (homogenous and heterogeneous) multi-core and a number of accelerator processing devices potentially offer an order of magnitude speedup for scientific application...
Sadaf R. Alam, Nikhil Bhatia, Jeffrey S. Vetter
EUROPAR
2006
Springer
13 years 8 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
PDP
2003
IEEE
13 years 10 months ago
Performance Modeling of Scientific Applications: Scalability Analysis of LAPW0
This paper presents a high-level approach for assessing the performance behavior of complex scientific applications running on a high-performance system through simulation. The pr...
Thomas Fahringer, Nicola Mazzocca, Massimiliano Ra...