04881nam 2200661Ia 450 991046227560332120200520144314.01-299-33347-81-61499-030-1(CKB)2670000000261539(EBL)1035215(OCoLC)812180739(SSID)ssj0000739719(PQKBManifestationID)12350736(PQKBTitleCode)TC0000739719(PQKBWorkID)10698854(PQKB)10338668(MiAaPQ)EBC1035215(Au-PeEL)EBL1035215(CaPaEBR)ebr10607548(CaONFJC)MIL464597(EXLCZ)99267000000026153920120928d2012 uy 0engur|n|---|||||txtccrUsing OpenCL[electronic resource] programming massively parallel computers /Janusz Kowalik and Tadeusz PuźniakowskiAmsterdam IOS Pressc20121 online resource (312 p.)Advances in parallel computing ;v. 21Description based upon print version of record.1-61499-029-8 Includes bibliographical references and index.Title Page; Preface; Contents; Introduction; Existing Standard Parallel Programming Systems; MPI; OpenMP; Two Parallelization Strategies: Data Parallelism and Task Parallelism; Data Parallelism; Task Parallelism; Example; History and Goals of OpenCL; Origins of Using GPU in General Purpose Computing; Short History of OpenCL; Heterogeneous Computer Memories and Data Transfer; Heterogeneous Computer Memories; Data Transfer; The Fourth Generation CUDA; Host Code; Phase a. Initialization and Creating Context; Phase b. Kernel Creation, Compilation and Preparations for Kernel ExecutionPhase c. Creating Command Queues and Kernel ExecutionFinalization and Releasing Resource; Applications of Heterogeneous Computing; Accelerating Scientific/Engineering Applications; Conjugate Gradient Method; Jacobi Method; Power Method; Monte Carlo Methods; Conclusions; Benchmarking CGM; Introduction; Additional CGM Description; Heterogeneous Machine; Algorithm Implementation and Timing Results; Conclusions; OpenCL Fundamentals; OpenCL Overview; What is OpenCL; CPU + Accelerators; Massive Parallelism Idea; Work Items and Workgroups; OpenCL Execution Model; OpenCL Memory StructureOpenCL C Language for Programming KernelsQueues, Events and Context; Host Program and Kernel; Data Parallelism in OpenCL; Task Parallelism in OpenCL; How to Start Using OpenCL; Header Files; Libraries; Compilation; Platforms and Devices; OpenCL Platform Properties; Devices Provided by Platform; OpenCL Platforms - C++; OpenCL Context to Manage Devices; Different Types of Devices; CPU Device Type; GPU Device Type; Accelerator; Different Device Types - Summary; Context Initialization - by Device Type; Context Initialization - Selecting Particular Device; Getting Information about ContextOpenCL Context to Manage Devices - C++Error Handling; Checking Error Codes; Using Exceptions - Available in C++; Using Custom Error Messages; Command Queues; In-order Command Queue; Out-of-order Command Queue; Command Queue Control; Profiling Basics; Profiling Using Events - C example; Profiling Using Events - C++ example; Work-Items and Work-Groups; Information About Index Space from a Kernel; NDRange Kernel Execution; Task Execution; Using Work Offset; OpenCL Memory; Different Memory Regions - the Kernel Perspective; Relaxed Memory ConsistencyGlobal and Constant Memory Allocation - Host CodeMemory Transfers - the Host Code; Programming and Calling Kernel; Loading and Compilation of an OpenCL Program; Kernel Invocation and Arguments; Kernel Declaration; Supported Scalar Data Types; Vector Data Types and Common Functions; Synchronization Functions; Counting Parallel Sum; Parallel Sum - Kernel; Parallel Sum - Host Program; Structure of the OpenCL Host Program; Initialization; Preparation of OpenCL Programs; Using Binary OpenCL Programs; Computation; Release of Resources; Structure of OpenCL host Programs in C++; InitializationPreparation of OpenCL ProgramsOpenCL (Computer program language)Parallel computersParallel programming (Computer science)Electronic books.OpenCL (Computer program language)Parallel computers.Parallel programming (Computer science)005.2752Kowalik Janusz S104295Puźniakowski Tadeusz987213MiAaPQMiAaPQMiAaPQBOOK9910462275603321Using OpenCL2256349UNINA