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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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