Team Challenger: Difference between revisions

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* Zhong Hu
* Zhong Hu


== 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 2
:*  week 2
::*  A Sparse Matrix Personality for the Convey HC-1 [http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5771239&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5771239]
::*  A Sparse Matrix Personality for the Convey HC-1 [http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5771239&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5771239]
:*  week 3
::* Translate verilog version adder file to vhdl code.
::* Discuss the implementation of QR application on convey system
::* Cordic Algorithm Implementations on FPGA [http://cutler.eecs.berkeley.edu/classes/ee225c/Papers/cordic.pdf]
:*  week 4
::* Convey computing with bioinformatics applications [http://hpcsociety.org/Resources/Documents/121212Kirby-CONVEY-SHPCP_121212.pdf]
:*  week 5
::* 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
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:*  week 2
:*  week 2
::*  [http://www.cs.colby.edu/maxwell/courses/tutorials/maketutor/ A Simple Makefile Tutorial]
::*  [http://www.cs.colby.edu/maxwell/courses/tutorials/maketutor/ A Simple Makefile Tutorial]
:*  week 3
::*  [http://newbiedoc.sourceforge.net/text_editing/vim.html#MODES-CL A Simple VIM Tutorial]
:*  week 4
::* [[Media:ConveySystemAdministrationGuide.pdf | Convey System Administration Guide]]
* 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]
:* make-up for week 2
::* QR ecomposition on GPUs[http://dl.acm.org/citation.cfm?id=1513904]
::* Introduction to Householder algorithm in QR decomposition application[http://math.fullerton.edu/mathews/n2003/householdermod.html]
:* make-up for week 3
::* CUDA Memory Model[https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=7&cad=rja&ved=0CEoQFjAG&url=https%3A%2F%2Fhub.vscse.org%2Fsite%2Fresources%2F2010%2F06%2F00048%2FCUDA_04.pdf&ei=_dwZUY73NKji2gWqo4GYDQ&usg=AFQjCNGgxpCFWYepx6v32fTHNyRI1pOOtA&sig2=6TW0elRmtCKW3i_fAqAT_g&bvm=bv.42261806,d.b2I]
::* CUBLAS Library Usage Reference[https://www.docs.nvidia.com/cuda/pdf/CUDA_CUBLAS_Users_Guide.pdf]
:* week 4
::* system Verilog tutorial[http://www.asic-world.com/systemverilog/tutorial.html]
:* week 5
::* most commonly used CUDA wiki website[https://developer.nvidia.com/category/zone/cuda-zone]
::* Nvidia GPU versions and corresponding compute capability[http://en.wikipedia.org/wiki/CUDA#Version_features_and_specifications]
::* methods to check CUDA memory constraints in terms of different GPU versions[http://3dgep.com/?p=1913]
:* week 6
::* open source software lists for genome alignment and assembly[http://seqanswers.com/wiki/Software/list].

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].