Team Challenger: Difference between revisions

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::*  Parallel Programming in CUDA C [http://developer.download.nvidia.com/books/cuda-by-example/cuda-by-example-sample.pdf]
::*  Parallel Programming in CUDA C [http://developer.download.nvidia.com/books/cuda-by-example/cuda-by-example-sample.pdf]
:*  week 2
:*  week 2
::*  A Simple Makefile Tutorial [http://www.cs.colby.edu/maxwell/courses/tutorials/maketutor/]
::*  [http://www.cs.colby.edu/maxwell/courses/tutorials/maketutor/ | A Simple Makefile Tutorial]
* 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 18:09, 29 January 2013

Team Members

  • Xinying Wang
  • Qilin Li
  • Zhong Hu


Wiki Contributions

  • Xinying Wang
  • week 1
  • Convey vector personalities offer OpenMP-like programming approach with FPGA accelerating. [1]
  • Weekly presentation slides Media:week1slides.pptx
  • week 2
  • A Sparse Matrix Personality for the Convey HC-1 [2]
  • Qilin Li
  • week 1
  • Introduction to Compilers for Convey [3]
  • GPGPU Programming on example of CUDA [4]
  • Parallel Programming in CUDA C [5]
  • week 2
  • Zhong Hu
  • CUDA Global Memory Usage & Strategy. [6]
  • CUDA C++ code samples.[7]