JumpStart allows you to create OpenCL projects from existing templates or based on existing samples with all the object creation and OpenCL setup done automatically, so that you can start working on the algorithm or application design. At every step proper error checking on the return codes of every API call needs to be done too. JumpStart is a new feature in the Intel® SDK for OpenCL™ Applications.Ĭreating an OpenCL application involves a lot of boiler-plate code: create/query the platform, create/query devices, create context, command queues, etc. The MIT Press, 1996.OpenCL™ JumpStart Kit is a plug-in for Microsoft Visual Studio* that enables developers to quickly create OpenCL projects in the Visual Studio IDE. Open MPI: Open Source High Performance Computing. MPI standard: The Message Passing Interface Standard.
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MPICH - A portable implementation of MPI: General-Purpose Computation on Graphics Hardware: Addison-Ģ) Eijkhout, V.: Introduction to High-Performance Scientific Computing.ģ) Eijkhout, V.: Parallel Computing for Science and Engineering.ĥ) General-Purpose computation on Graphics Processor Units:ĪMD Developer Central: Tools, Resources. 2nd edition, Prentice-Hall, Upper SaddleĢ4) Wilt, N.: The CUDA Handbook - A Comrehensive Guide to GPU Programming. Networked Workstations and Parallel Computers. Allen, M.: Parallel Programming: Techniques and Applications Using Yurtoglu, M.: CUDA for Engineers - An Introduction to High-Performance Addison-Wesley, Upper Saddle River, NJ,Ģ2) Storti, D.
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J.: Parallel Programming in C with MPI and OpenMP. Morgan Kaufmann, Burlington,Ģ0) Quinn, M. S.: An Introduction to Parallel Programming. Morgan Kaufmann, San Francisco, CA,ġ9) Pacheco, P.
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Addison-Wesley, Upper Saddle River, NJ,ġ8) Pacheco, P. 3rd edition, Morgan Kaufmann, Amsterdam, 2017.ġ7) Munshi, A. Hwu, W.W.: Programming Massively Parallel Processors - A Hands-onĪpproach. et al.: Heterogeneous Computing with OpenCL 2.0. International Organization for Standardization, Geneva,ġ5) Kaeli, D.
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Standard can be downloaded free of charge).ġ4) ISO: Programming languages - C. Portable Operating System Interface (POSIX), 4th edition, 2016. The MIT Press, Cambridge, Massachusetts, 2014.ġ3) IEEE Std 1003.1, 2016 edition and ISO/IEC 9945:2009: Information technology. et al.: Using Advanced MPI - Modern Features of the Message Passing 3rd edition, The MIT Press, Cambridge, Massachusetts, 2014.ġ2) Gropp, W. et al.: Using MPI: Portable Parallel Programming with the Message-Passing Pearson Education, Harlow, England,ġ1) Gropp, W. et al.: Introduction to Parallel Computing.
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2nd edition (revised OpenCLġ.2 Edition), Morgan Kaufmann, Amsterdam, 2013.ġ0) Grama, A. et al.: Heterogeneous Computing with OpenCL. Morgan Kaufmann, Amsterdam, 2017.Ĩ) Foster, J.: Designing and Building Parallel Programs. (editor): Parallel Programming with OpenACC: Simplifying Massively ParallelĬomputing. ĥ) Cook, S.: CUDA Programming - A Developer's Guide to Parallel Computing with GPUs.Ħ) Farber, R.: CUDA Application Design and Development. MIT Press, Cambridge, Massachusetts, 2008.Ĥ) Cheng, J. et al.: Using OpenMP: Portable Shared Memory Parallel Programming. Programmers-Concepts-and-Strategies/PGM1731224.htmlģ) Chapman, B. (editors): OpenACC for Programmers - Concepts and Groġ) Andrews, G.R.: Foundations of Multithreaded, Parallel, and Distributed Programming.Ģ) Chandrasekaran, S. Hochschule Fulda - University of Applied Sciences, Prof.