Team Challenger: Difference between revisions

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== References ==
== References ==
 
* [http://i.cs.hku.hk/~alse/hkubrg/projects/idba/ IDBA - A Practical Iterative de Bruijn Graph De Novo Assembler]
 


== Wiki Contributions ==
== Wiki Contributions ==
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:*  week 5
:*  week 5
::* Tutorial for COREGEN [http://homepages.cae.wisc.edu/~ece554/website/Xilinx/Coregen_user_guide.pdf]
::* Tutorial for COREGEN [http://homepages.cae.wisc.edu/~ece554/website/Xilinx/Coregen_user_guide.pdf]
:*  week 6
::* GPU-Euler: Sequence Assembly using GPGPU[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6062988]
:*  week 7
::* Genome assembly [http://www.csc.kth.se/utbildning/kth/kurser/DD2399/omsys10/lectures/genomeassembly.pdf]
* Qilin Li
* Qilin Li
:*  week 1
:*  week 1

Latest revision as of 23:26, 12 March 2013

Team Members

  • Xinying Wang
  • Qilin Li
  • Zhong Hu

References

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]
  • week 3
  • Translate verilog version adder file to vhdl code.
  • Discuss the implementation of QR application on convey system
  • Cordic Algorithm Implementations on FPGA [3]
  • week 4
  • Convey computing with bioinformatics applications [4]
  • week 5
  • Tutorial for COREGEN [5]
  • week 6
  • GPU-Euler: Sequence Assembly using GPGPU[6]
  • week 7
  • Genome assembly [7]
  • Qilin Li
  • week 1
  • Introduction to Compilers for Convey [8]
  • GPGPU Programming on example of CUDA [9]
  • Parallel Programming in CUDA C [10]
  • week 2
  • week 3
  • week 4
  • Zhong Hu
  • CUDA Global Memory Usage & Strategy. [11]
  • CUDA C++ code samples.[12]
  • make-up for week 2
  • QR ecomposition on GPUs[13]
  • Introduction to Householder algorithm in QR decomposition application[14]
  • make-up for week 3
  • CUDA Memory Model[15]
  • CUBLAS Library Usage Reference[16]
  • week 4
  • system Verilog tutorial[17]
  • week 5
  • most commonly used CUDA wiki website[18]
  • Nvidia GPU versions and corresponding compute capability[19]
  • methods to check CUDA memory constraints in terms of different GPU versions[20]
  • week 6
  • open source software lists for genome alignment and assembly[21].