Literaturverzeichnis der Lehrveranstaltung "Seminar: GPU-Programmierung/Parallelverarbeitung"

1. Bengel, G.; et al.: Masterkurs Parallele und Verteilte Systeme. Vieweg + Teubner, Wiesbaden, 2008.

2. Breshears, C.: The Art of Concurrency - A Thread Monkey's Guide to Writing Parallel Applications. O'Reilly, Beijing, 2009.
   http://oreilly.com/catalog/9780596521547

3. Fernando, R.: GPU Gems: Programming Techniques, Tips, and Tricks for Real-Time Graphics. Addison-Wesley, Boston, MA, 2004.
   http://http.developer.nvidia.com/GPUGems/gpugems_part01.html

4. Fernando, R.; Kilgard, M.J.: The Cg Tutorial: The Definitive Guide to Programmable Real-Time Graphics. Addison-Wesley, Boston, MA, 2003.
   http://http.developer.nvidia.com/CgTutorial/cg_tutorial_chapter01.html

5. Grama, A.; et al.: Introduction to Parallel Computing. Pearson Education, Harlow, England, 2nd edition, 2003.

6. Herlihy, M.; Shavit, N.: The Art of Multiprocessor Programming. Elsevier, Amsterdam, 2008.
   http://www.elsevierdirect.com/product.jsp?isbn=9780123705914
   http://www.elsevierdirect.com/companion.jsp?ISBN=9780123705914

7. Hwu, W.W. (ed.): GPU Computing Gems: Emerald Edition. Elsevier, Amsterdam, 2011.
   http://mkp.com/gpu-computing-gems

8. Kirk, D.B.; Hwu, W.W.: Programming Massively Parallel Processors - A Hands-on Approach. Elsevier, Amsterdam, 2010.
   http://www.elsevierdirect.com/product.jsp?isbn=9780123814722
   http://www.elsevierdirect.com/companion.jsp?ISBN=9780123814722

9. Nguyen, H.: GPU Gems 3: Programming Techniques for High-Performance Graphics and General-Purpose Computation. Addison-Wesley, Boston, MA, 2007.
   http://http.developer.nvidia.com/GPUGems3/gpugems3_part01.html

10. Pharr, M.: GPU Gems 2: Programming Techniques for High-Performance Graphics and General-Purpose Computation. Addison-Wesley, Boston, MA, 2005.
    http://http.developer.nvidia.com/GPUGems2/gpugems2_part01.html

11. Pacheco, P. S.: Parallel Programming with MPI. Morgan Kaufmann, San Francisco, CA, 1997.
    http://www.cs.usfca.edu/mpi

12. Pacheco, P. S.: An Introduction to Parallel Programming. Morgan Kaufmann, Burlington, MA, 2011.
    http://www.mkp.com/pacheco

13. Quinn, M. J.: Parallel Programming in C with MPI and OpenMP. McGraw-Hill, New York, 2004.
    http://fac-staff.seattleu.edu/quinnm/web

14. Sanders, J.; Kandrot, E.: CUDA by Example: An Introduction to General-Purpose GPU Programming. Addison-Wesley, Upper Saddle River, NJ, 2011.
    http://developer.nvidia.com/object/cuda-by-example.html

Informationen im World Wide Web

1. Adventures in OpenCL: Part 1, Getting Started:
   http://enja.org/2010/07/13/adventures-in-opencl-part-1-getting-started

2. Adventures in OpenCL: Part 1.5, C++ Bindings:
   http://enja.org/2010/07/20/adventures-in-opencl-part-1-5-cpp-bindings

3. Adventures in OpenCL Part 2: Particles with OpenGL:
   http://enja.org/2010/08/27/adventures-in-opencl-part-2-particles-with-opengl

4. AMD Accelerated Parallel Processing (APP) SDK (formerly ATI Stream):
   http://developer.amd.com/sdks/AMDAPPSDK/Pages/default.aspx

5. AMD Accelerated Parallel Processing (APP) SDK OpenCL Programming Guide:
   http://developer.amd.com/gpu/AMDAPPSDK/assets/AMD_Accelerated_Parallel_Processing_OpenCL_Programming_Guide.pdf

6. AMD ATI FirePro V9800 (Übersicht, Technische Daten, ...):
   http://www.amd.com/DE/PRODUCTS/WORKSTATION/GRAPHICS/ATI-FIREPRO-3D/V9800/Pages/v9800.aspx
   http://www.amd.com/US/PRODUCTS/WORKSTATION/GRAPHICS/ATI-FIREPRO-3D/V9800/Pages/v9800.aspx

7. AMD Developer Central: Tools, Resources, ...
   http://developer.amd.com

8. Brown Deer Technology: OpenCL Tutorial: N-Body Simulation.
   http://www.browndeertechnology.com/docs/BDT_OpenCL_Tutorial_NBody-rev3.html

9. CBC Seminar on GPU Programming and Computing:
   http://simula.no/research/sc/cbc/events/2010/cbc-seminar-on-gpu-programming-and-computing-may-4-2010

10. FreeBookCentre.Net:
    http://www.freebookcentre.net

11. General-Purpose Computation on Graphics Hardware:
    http://gpgpu.org
    http://gpgpu.org/tag/ati-stream
    http://gpgpu.org/tag/opencl

12. GNU Scientific Library (GSL):
    http://www.gnu.org/software/gsl
    http://www.gnu.org/software/gsl/manual/html_node

13. GPUcomputing.net: Research and development community.
    http://gpucomputing.net

14. GPU Resources:
    http://cseweb.ucsd.edu/~baden/Doc/gpu.html

15. GPUSort: High Performance Sorting using Graphics Processors:
    http://gamma.cs.unc.edu/GPUSORT
    http://gamma.cs.unc.edu/GPUSORT/results.html

16. Intel OpenCL SDK:
    http://software.intel.com/en-us/vcsource/tools/opencl-sdk

17. Intel Xeon E5000er Prozessoren (Überblick, Spezifikationen, Technische Dokumente, ...):
    http://www.intel.de/content/www/de/de/processors/xeon/xeon-processor-5000-sequence.html

18. Mathematica GPU Computing:
    http://www.wolfram.com/solutions/hpc
    http://reference.wolfram.com/mathematica/ParallelTools/tutorial/Overview.html
    http://www.nvidia.de/object/cuda-programming-mathematica-de.html

19. MATLAB GPU Computing:
    http://www.mathworks.de/products/parallel-computing/?s_cid=HP_FP_ML_parallel
    http://www.mathworks.de/discovery/matlab-gpu.html
    http://developer.nvidia.com/cuda-tools-ecosystem#Numeric

20. Microsoft Accelerator:
    http://research.microsoft.com/en-us/projects/accelerator

21. Microsoft DirectX/DirectCompute:
    http://msdn.microsoft.com/en-us/directx
    http://www.nvidia.com/object/directcompute.html
    http://www.nvidia.de/object/directcompute_de.html

22. Microsoft Parallel Computing Developer Center:
    http://msdn.microsoft.com/de-de/concurrency/default
    http://msdn.microsoft.com/en-en/concurrency/default

23. MIT Open Courseware: Applied Parallel Computing.
    http://ocw.mit.edu/courses/earth-atmospheric-and-planetary-sciences/12-950-parallel-programming-for-multicore-machines-using-openmp-and-mpi-january-iap-2010/
    http://ocw.mit.edu/courses/mathematics/18-337j-parallel-computing-fall-2011/index.htm
    http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-189-multicore-programming-primer-january-iap-2007/
    http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-895-theory-of-parallel-systems-sma-5509-fall-2003/

24. MPI standard: The Message Passing Interface Standard.
    http://www.mpi-forum.org/docs/docs.html,
    http://www.mpi-forum.org/docs/mpi-3.0/mpi30-report.pdf,
    http://www-unix.mcs.anl.gov/mpi

25. Numerik-Bibliotheken: BLAS/PBLAS/CUBLAS, LAPACK/PLAPACK/CULA/MAGMA, CUDPP, ScaLAPACK.
    

    • BLAS/PBLAS: (Parallel) Basic Linear Algebra Subprograms.
      http://www.netlib.org/blas/index.html
      http://www.netlib.org/scalapack/pblas_qref.html

    • CUBLAS: CUDA/GPU accelerated BLAS.
      http://docs.nvidia.com/cuda/cublas/index.html

    • LAPACK/PLAPACK: (Parallel) Linear Algebra Package.
      http://www.netlib.org/lapack/index.html
      http://www.cs.utexas.edu/~plapack

    • CULA: CUDA/GPU accelerated LAPACK.
      http://www.culatools.com

    • MAGMA: Matrix Algebra on GPU and Multicore Architectures.
      http://icl.cs.utk.edu/magma

    • CUDPP: CUDA Data Parallel Primitives Library.
      http://code.google.com/p/cudpp

    • ScaLAPACK: Scalable LAPACK.
      http://www.netlib.org/scalapack/index.html

26. Nvidia CUDA:
    http://docs.nvidia.com/cuda/index.html
    https://developer.nvidia.com/cuda-toolkit
    http://www.nvidia.com/object/cuda_home_new.html

27. Nvidia Developer Web Site:
    https://developer.nvidia.com

28. Nvidia GPU Computing Webinars:
    https://developer.nvidia.com/gpu-computing-webinars

29. Nvidia GPU Programming Guide:
    https://developer.nvidia.com/nvidia-gpu-programming-guide
    http://developer.download.nvidia.com/GPU_Programming_Guide/GPU_Programming_Guide_G80.pdf

30. Nvidia Parallel Nsight:
    https://developer.nvidia.com/nvidia-nsight-visual-studio-edition

31. Nvidia Tesla Cxxxx (Overview, Specifications, Drivers & Downloads, ...):
    http://www.nvidia.com/object/personal-supercomputing.html
    http://www.nvidia.com/object/tesla-supercomputing-solutions.html

32. OpenACC:
    http://www.openacc.org
    https://developer.nvidia.com/openacc
    https://developer.nvidia.com/content/openacc-example-part-1
    https://developer.nvidia.com/content/openacc-example-part-2

33. OpenCL:
    http://www.khronos.org/opencl
    http://developer.nvidia.com/opencl
    http://developer.amd.com/resources/heterogeneous-computing/opencl-zone/

34. OpenCL Programming Guide:
    http://www.nvidia.com/content/cudazone/download/OpenCL/NVIDIA_OpenCL_ProgrammingGuide.pdf

35. OpenCL Quick Reference Card:
    http://www.khronos.org/files/opencl-1-2-quick-reference-card.pdf

36. OpenCL Spezifikation:
    http://www.khronos.org/registry/cl

37. OpenCV/GpuCV:
    https://picoforge.int-evry.fr/cgi-bin/twiki/view/Gpucv/Web
    http://opencv.willowgarage.com/wiki

38. OpenGL and OpenCL Debugger:
    http://www.gremedy.com

39. Open MPI: Open Source High Performance Computing.
    http://www.open-mpi.org

40. OpenMP.org: OpenMP Application Program Interface. Version 3.1, July 2011.
    http://openmp.org
    http://openmp.org/wp/openmp-specifications
    http://www.openmp.org/mp-documents/OpenMP3.1.pdf
    http://www.openmp.org/mp-documents/OpenMP4.0RC1_final.pdf

41. Wikipedia:
    

    • ATI-Stream:
      http://de.wikipedia.org/wiki/ATI-Stream

    • CUDA:
      http://de.wikipedia.org/wiki/CUDA

    • DirectCompute:
      http://en.wikipedia.org/wiki/DirectCompute

    • DirectX:
      http://de.wikipedia.org/wiki/Directx

    • GPGPU:
      http://de.wikipedia.org/wiki/GPGPU

    • Grafikprozessor:
      http://de.wikipedia.org/wiki/Grafikprozessor

    • OpenACC:
      http://en.wikipedia.org/wiki/OpenACC

    • OpenCL:
      http://de.wikipedia.org/wiki/OpenCL

    • OpenCV:
      http://de.wikipedia.org/wiki/OpenCV

Software im World Wide Web

1. Accelerated Parallel Processing (APP) SDK:
   http://developer.amd.com/tools/heterogeneous-computing/amd-accelerated-parallel-processing-app-sdk

2. Intel C/C++ Compiler: Kann für Linux für nicht kommerziellen Einsatz kostenfrei lizenziert werden.
   http://software.intel.com/en-us/articles/non-commercial-software-development/
   (Nachdem Sie die Lizenzbedingungen akzeptiert haben, können Sie unter anderem den "Intel C++ Compiler for Linux" herunterladen. Bevor der Compiler tatsächlich heruntergeladen werden kann, müssen Sie sich noch mit Ihrer E-Mail-Adresse registrieren. An diese Adresse wird dann eine Lizenzdatei geschickt, die Sie in einem beliebigen Verzeichnis speichern können. Den Pfadnamen zu dem Verzeichnis speichern Sie in der Umgebungsvariablen "INTEL_LICENSE_FILE", z. B. mit "setenv INTEL_LICENSE_FILE /home/fd1026/intel_lic".)

3. Intel SDK for OpenCL Applications 2012/13:
   http://software.intel.com/en-us/vcsource/tools/opencl-sdk

4. Microsoft DirectX SDK:
   http://www.microsoft.com/download/en/details.aspx?displaylang=en&id=6812

5. Nvidia CUDA Download:
   https://developer.nvidia.com/cuda-downloads

6. NVIDIA CUDA SDK Code Samples:
   http://docs.nvidia.com/cuda/cuda-samples/index.html

7. Nvidia Parallel Nsight:
   https://developer.nvidia.com/nvidia-nsight-visual-studio-edition

8. OpenCV/GpuCV:
   http://sourceforge.net/projects/opencvlibrary
   https://picoforge.int-evry.fr/cgi-bin/twiki/view/Gpucv/Web/WebHomeDownload