Prof. Dr. rer. nat. Siegmar Groß

Impressum / Imprint

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. Cook, S.: CUDA Programming - A Developer's Guide to Parallel Computing with GPUs. Morgan Kaufmann, Amsterdam, 2013.

  4. Farber, R.: CUDA Application Design and Development. Morgan Kaufmann, Amsterdam, 2012.
    http://store.elsevier.com/product.jsp?isbn=9780123884268

  5. 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

  6. 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

  7. Gaster, B.R.; et al.: Heterogeneous Computing with OpenCL. 2nd edition, Morgan Kaufmann, Amsterdam, 2013.
    http://store.elsevier.com/product.jsp?isbn=9780124058941

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

  9. 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

  10. Hwu, W.W. (ed.): GPU Computing Gems: Emerald Edition. Elsevier, Amsterdam, 2011.

  11. Kirk, D.B.; Hwu, W.W.: Programming Massively Parallel Processors - A Hands-on Approach. Elsevier, Amsterdam, 2nd edition, 2012.
    http://www.elsevierdirect.com/product.jsp?isbn=9780123814722
    http://booksite.elsevier.com/9780124159921/

  12. Munshi, A.; et al.: OpenCL Programming Guide. Addison-Wesley, Upper Saddle River, NJ, 2012.

  13. 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

  14. 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

  15. Pacheco, P. S.: Parallel Programming with MPI. Morgan Kaufmann, San Francisco, CA, 1997.
    http://www.cs.usfca.edu/~peter/ppmpi

  16. Pacheco, P. S.: An Introduction to Parallel Programming. Morgan Kaufmann, Burlington, MA, 2011.
    http://www.cs.usfca.edu/~peter/ipp
    http://store.elsevier.com/product.jsp?isbn=9780123742605

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

  18. 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

  19. Wilt, N.: The CUDA Handbook - A Comrehensive Guide to GPU Programming. Addison-Wesley, Upper Saddle River, NJ, 2013.
    http://www.cudahandbook.com

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Informationen im World Wide Web

Auf meiner Web-Seite gibt es weitere Verweise auf Online-Bücher, -Handbücher usw.: http://www.hs-fulda.de/~gross/web_adressen

  1. AMD Accelerated Parallel Processing (APP) SDK (formerly ATI Stream):
    http://developer.amd.com/tools-and-sdks/opencl-zone/amd-accelerated-parallel-processing-app-sdk/

  2. AMD Accelerated Parallel Processing (APP) SDK OpenCL Programming Guide:
    http://amd-dev.wpengine.netdna-cdn.com/wordpress/media/2013/07/AMD_Accelerated_Parallel_Processing_OpenCL_Programming_Guide-rev-2.7.pdf

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

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

  5. 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

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

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

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

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

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

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

  12. Intel OpenCL SDK:
    https://software.intel.com/en-us/intel-opencl

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

  14. 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

  15. 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

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

  17. 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/

  18. 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

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

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

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

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

  23. 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

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

  25. 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

  26. OpenCL:
    http://www.khronos.org/opencl
    http://developer.nvidia.com/opencl
    http://developer.amd.com/tools-and-sdks/opencl-zone/

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

  28. OpenCL Quick Reference Card:
    http://www.khronos.org/files/opencl20-quick-reference-card.pdf

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

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

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

  32. OpenMP.org: OpenMP Application Program Interface. Version 4.0, July 2013.
    http://openmp.org
    http://openmp.org/wp/openmp-specifications
    http://www.openmp.org/mp-documents/OpenMP4.0.0.pdf

  33. Wikipedia:

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Software im World Wide Web

  1. Accelerated Parallel Processing (APP) SDK:
    http://developer.amd.com/tools-and-sdks/opencl-zone/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/
    https://software.intel.com/en-us/intel-education-offerings/
    (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:
    https://software.intel.com/en-us/intel-opencl

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

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

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