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» An adaptive performance modeling tool for GPU architectures
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SIPS
2006
IEEE
14 years 2 months ago
Automated Architectural Exploration for Signal Processing Algorithms
Abstract— This paper presents a design environment for efficiently generating application-specific Intellectual Property (IP) cores for system level signal processing algorithm...
Ramsey Hourani, Ravi Jenkal, W. Rhett Davis, Winse...
PC
2010
190views Management» more  PC 2010»
13 years 7 months ago
High-performance cone beam reconstruction using CUDA compatible GPUs
Compute unified device architecture (CUDA) is a software development platform that allows us to run C-like programs on the nVIDIA graphics processing unit (GPU). This paper prese...
Yusuke Okitsu, Fumihiko Ino, Kenichi Hagihara
PLDI
2009
ACM
14 years 3 months ago
Programming model for a heterogeneous x86 platform
The client computing platform is moving towards a heterogeneous architecture consisting of a combination of cores focused on scalar performance, and a set of throughput-oriented c...
Bratin Saha, Xiaocheng Zhou, Hu Chen, Ying Gao, Sh...
CG
2007
Springer
13 years 8 months ago
Fast continuous collision detection among deformable models using graphics processors
We present an interactive algorithm to perform continuous collision detection between general deformable models using graphics processors (GPUs). We model the motion of each objec...
Naga K. Govindaraju, Ilknur Kabul, Ming C. Lin, Di...
IPPS
2010
IEEE
13 years 6 months ago
Improving the performance of Uintah: A large-scale adaptive meshing computational framework
Abstract--Uintah is a highly parallel and adaptive multiphysics framework created by the Center for Simulation of Accidental Fires and Explosions in Utah. Uintah, which is built up...
Justin Luitjens, Martin Berzins