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» An adaptive performance modeling tool for GPU architectures
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PPOPP
2010
ACM
13 years 11 months ago
An adaptive performance modeling tool for GPU architectures
This paper presents an analytical model to predict the performance of general-purpose applications on a GPU architecture. The model is designed to provide performance information ...
Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. P...
IPPS
2009
IEEE
13 years 11 months ago
A cross-input adaptive framework for GPU program optimizations
Abstract—Recent years have seen a trend in using graphic processing units (GPU) as accelerators for general-purpose computing. The inexpensive, single-chip, massively parallel ar...
Yixun Liu, Eddy Z. Zhang, Xipeng Shen
ISPASS
2006
IEEE
13 years 10 months ago
ATTILA: a cycle-level execution-driven simulator for modern GPU architectures
The present work presents a cycle-level execution-driven simulator for modern GPU architectures. We discuss the simulation model used for our GPU simulator, based in the concept o...
Victor Moya Del Barrio, Carlos González, Jo...
CGF
2008
217views more  CGF 2008»
13 years 4 months ago
A Flexible Kernel for Adaptive Mesh Refinement on GPU
We present a flexible GPU kernel for adaptive on-the-fly refinement of meshes with arbitrary topology. By simply reserving a small amount of GPU memory to store a set of adaptive ...
Tamy Boubekeur, Christophe Schlick
ISCA
2010
IEEE
247views Hardware» more  ISCA 2010»
13 years 8 months ago
An integrated GPU power and performance model
GPU architectures are increasingly important in the multi-core era due to their high number of parallel processors. Performance optimization for multi-core processors has been a c...
Sunpyo Hong, Hyesoon Kim