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Conferences in DBLP

International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) (asplos)
2009 (conf/asplos/2009gpgpu)


  1. Accelerating cosmological data analysis with graphics processors. [Citation Graph (, )][DBLP]


  2. High performance computation and interactive display of molecular orbitals on GPUs and multi-core CPUs. [Citation Graph (, )][DBLP]


  3. GPU acceleration of a production molecular docking code. [Citation Graph (, )][DBLP]


  4. Accelerating phase unwrapping and affine transformations for optical quadrature microscopy using CUDA. [Citation Graph (, )][DBLP]


  5. Performance analysis of accelerated image registration using GPGPU. [Citation Graph (, )][DBLP]


  6. Accelerating linpack with CUDA on heterogenous clusters. [Citation Graph (, )][DBLP]


  7. hiCUDA: a high-level directive-based language for GPU programming. [Citation Graph (, )][DBLP]


  8. Architecture-aware optimization targeting multithreaded stream computing. [Citation Graph (, )][DBLP]


  9. QR decomposition on GPUs. [Citation Graph (, )][DBLP]


  10. 3D finite difference computation on GPUs using CUDA. [Citation Graph (, )][DBLP]


  11. Optimization of tele-immersion codes. [Citation Graph (, )][DBLP]


  12. Understanding software approaches for GPGPU reliability. [Citation Graph (, )][DBLP]

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NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
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