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» A performance prediction model for the CUDA GPGPU platform
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PDPTA
2010
13 years 5 months ago
Data-Parallelism and GPUs for Lattice Gas Fluid Simulations
Lattice gas cellular automata (LGCA) models provide a relatively fast means of simulating fluid flow and can give both quantitative and qualitative insights into flow patterns aro...
Mitchel Johnson, Daniel P. Playne, Kenneth A. Hawi...
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
14 years 2 months ago
Randomized model predictive control for robot navigation
— We suggest a new navigation approach to mobile robots, within a nonlinear model predictive control framework where a navigation function is used as a control Lyapunov function....
Jorge L. Piovesan, Herbert G. Tanner
HCW
1999
IEEE
14 years 1 days ago
Communication Modeling of Heterogeneous Networks of Workstations for Performance Characterization of Collective Operations
: Networks of Workstations (NOW) have become an attractive alternative platform for high performance computing. Due to the commodity nature of workstations and interconnects and du...
Mohammad Banikazemi, Jayanthi Sampathkumar, Sandee...
IPPS
2003
IEEE
14 years 1 months ago
Modeling Parallel Applications Performance on Heterogeneous Systems
The current technologies have made it possible to execute parallel applications across heterogeneous platforms. However, the performance models available do not provide adequate m...
Jameela Al-Jaroodi, Nader Mohamed, Hong Jiang, Dav...
WOSP
2004
ACM
14 years 1 months ago
Software performance engineering of component-based systems
We propose an automated compositional approach for component-based performance engineering, called the CB-SPE. It adapts to a CB framework the concepts and steps of the wellknown ...
Antonia Bertolino, Raffaela Mirandola