Performance models for asynchronous data transfers on consumer Graphics Processing Units

Author:

Gómez-Luna Juan,González-Linares José María,Benavides José Ignacio,Guil Nicolás

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference20 articles.

1. An adaptive performance modeling tool for GPU architectures;Baghsorkhi,2010

2. Juan Gómez-Luna, José María González-Linares, José Ignacio Benavides, Nicolás Guil, Parallelization of a video segmentation algorithm on CUDA-enabled graphics processing units, in: Proc. of the Int’l Euro-Par Conference on Parallel Processing, EuroPar’09, 2009, pp. 924–935.

3. Juan Gómez-Luna, José María González-Linares, José Ignacio Benavides, Nicolás Guil, Performance models for CUDA streams on NVIDIA GeForce series, Technical Report, University of Málaga, 2011. http://www.ac.uma.es/~vip/publications/UMA-DAC-11-02.pdf.

4. Wan Han, Gao Xiaopeng, Wang Zhiqiang, Li Yi, Using GPU to accelerate cache simulation, in: IEEE International Symposium on Parallel and Distributed Processing with Applications, 2009, pp. 565–570.

5. An analytical model for a GPU architecture with memory-level and thread-level parallelism awareness;Hong,2009

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