Team Challenger: Difference between revisions

From Cpre584
Jump to navigation Jump to search
Xinying (talk | contribs)
Qilinli (talk | contribs)
Line 12: Line 12:
:*  Weekly presentation slides [[Media:week1slides.pptx]]
:*  Weekly presentation slides [[Media:week1slides.pptx]]
* Qilin Li
* Qilin Li
:*  Introduction to Compilers for Convey [http://www.conveycomputer.com/files/3913/5085/4426/Compiler_Data_Sheet.pdf]
:*  GPGPU Programming on example of CUDA [http://panoramix.ift.uni.wroc.pl/~maq/cuda/prezentacja-cuda-eng.pdf]
:*  Parallel Programming in CUDA C [http://developer.download.nvidia.com/books/cuda-by-example/cuda-by-example-sample.pdf]
* Zhong Hu
* Zhong Hu
:*  CUDA Global Memory Usage & Strategy. [http://developer.download.nvidia.com/CUDA/training/cuda_webinars_GlobalMemory.pdf]
:*  CUDA Global Memory Usage & Strategy. [http://developer.download.nvidia.com/CUDA/training/cuda_webinars_GlobalMemory.pdf]
:*  CUDA C++ code samples.[http://docs.nvidia.com/cuda/cuda-samples/index.html]
:*  CUDA C++ code samples.[http://docs.nvidia.com/cuda/cuda-samples/index.html]

Revision as of 03:34, 23 January 2013

Team Members

  • Xinying Wang
  • Qilin Li
  • Zhong Hu


Wiki Contributions

  • Xinying Wang
  • Convey vector personalities offer OpenMP-like programming approach with FPGA accelerating. [1]
  • Weekly presentation slides Media:week1slides.pptx
  • Qilin Li
  • Introduction to Compilers for Convey [2]
  • GPGPU Programming on example of CUDA [3]
  • Parallel Programming in CUDA C [4]
  • Zhong Hu
  • CUDA Global Memory Usage & Strategy. [5]
  • CUDA C++ code samples.[6]