Using OpenCL :: programming massively parallel computers /
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Körperschaft: | |
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam :
IOS Press,
©2012.
|
| Schriftenreihe: | Advances in parallel computing ;
v. 21. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Some online versions may be missing accompanying materials. |
| Beschreibung: | 1 online resource (xiv, 295 pages) : illustrations (some color) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781614990307 1614990301 |
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| 100 | 1 | |a Kowalik, Janusz S. |0 http://id.loc.gov/authorities/names/n79058965 | |
| 245 | 1 | 0 | |a Using OpenCL : |b programming massively parallel computers / |c Janusz Kowalik and Tadeusz Puźniakowski. |
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| 490 | 1 | |a Advances in parallel computing ; |v v. 21 | |
| 504 | |a Includes bibliographical references and index. | ||
| 500 | |a Some online versions may be missing accompanying materials. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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 Execution | |
| 505 | 8 | |a Phase 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 Structure | |
| 505 | 8 | |a OpenCL 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 Context | |
| 505 | 8 | |a OpenCL 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 Consistency | |
| 505 | 8 | |a Global 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++; Initialization | |
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Datensatz im Suchindex
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| adam_text | |
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| author | Kowalik, Janusz S. |
| author2 | Puźniakowski, Tadeusz |
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| author_GND | http://id.loc.gov/authorities/names/n79058965 |
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| author_facet | Kowalik, Janusz S. Puźniakowski, Tadeusz IOS Press |
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| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.73.O213 K69 2012 |
| callnumber-search | QA76.73.O213 K69 2012 |
| callnumber-sort | QA 276.73 O213 K69 42012 |
| callnumber-subject | QA - Mathematics |
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| contents | 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 Execution Phase 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 Structure OpenCL 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 Context OpenCL 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 Consistency Global 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++; Initialization |
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| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn812180739 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:24:59Z |
| institution | BVB |
| institution_GND | http://id.loc.gov/authorities/names/no2015091156 |
| isbn | 9781614990307 1614990301 |
| language | English |
| oclc_num | 812180739 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xiv, 295 pages) : illustrations (some color) |
| psigel | ZDB-4-EBA |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | IOS Press, |
| record_format | marc |
| series | Advances in parallel computing ; |
| series2 | Advances in parallel computing ; |
| spelling | Kowalik, Janusz S. http://id.loc.gov/authorities/names/n79058965 Using OpenCL : programming massively parallel computers / Janusz Kowalik and Tadeusz Puźniakowski. Amsterdam : IOS Press, ©2012. 1 online resource (xiv, 295 pages) : illustrations (some color) text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Advances in parallel computing ; v. 21 Includes bibliographical references and index. Some online versions may be missing accompanying materials. Print version record. 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 Execution Phase 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 Structure OpenCL 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 Context OpenCL 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 Consistency Global 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++; Initialization OpenCL (Computer program language) http://id.loc.gov/authorities/subjects/sh2011002885 Parallel computers. http://id.loc.gov/authorities/subjects/sh89004421 Parallel programming (Computer science) http://id.loc.gov/authorities/subjects/sh85097827 OpenCL (Langage de programmation) Ordinateurs parallèles. Programmation parallèle (Informatique) COMPUTERS Programming Languages C♯ bisacsh COMPUTERS Programming Languages Java. bisacsh COMPUTERS Programming Languages Pascal. bisacsh OpenCL (Computer program language) fast Parallel computers fast Parallel programming (Computer science) fast Puźniakowski, Tadeusz. IOS Press. http://id.loc.gov/authorities/names/no2015091156 Print version: Kowalik, Janusz. Using OpenCL. Amsterdam : IOS Press, ©2012 1614990298 (OCoLC)781831341 Advances in parallel computing ; v. 21. http://id.loc.gov/authorities/names/n88500108 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=489940 Volltext |
| spellingShingle | Kowalik, Janusz S. Using OpenCL : programming massively parallel computers / Advances in parallel computing ; 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 Execution Phase 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 Structure OpenCL 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 Context OpenCL 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 Consistency Global 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++; Initialization OpenCL (Computer program language) http://id.loc.gov/authorities/subjects/sh2011002885 Parallel computers. http://id.loc.gov/authorities/subjects/sh89004421 Parallel programming (Computer science) http://id.loc.gov/authorities/subjects/sh85097827 OpenCL (Langage de programmation) Ordinateurs parallèles. Programmation parallèle (Informatique) COMPUTERS Programming Languages C♯ bisacsh COMPUTERS Programming Languages Java. bisacsh COMPUTERS Programming Languages Pascal. bisacsh OpenCL (Computer program language) fast Parallel computers fast Parallel programming (Computer science) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2011002885 http://id.loc.gov/authorities/subjects/sh89004421 http://id.loc.gov/authorities/subjects/sh85097827 |
| title | Using OpenCL : programming massively parallel computers / |
| title_auth | Using OpenCL : programming massively parallel computers / |
| title_exact_search | Using OpenCL : programming massively parallel computers / |
| title_full | Using OpenCL : programming massively parallel computers / Janusz Kowalik and Tadeusz Puźniakowski. |
| title_fullStr | Using OpenCL : programming massively parallel computers / Janusz Kowalik and Tadeusz Puźniakowski. |
| title_full_unstemmed | Using OpenCL : programming massively parallel computers / Janusz Kowalik and Tadeusz Puźniakowski. |
| title_short | Using OpenCL : |
| title_sort | using opencl programming massively parallel computers |
| title_sub | programming massively parallel computers / |
| topic | OpenCL (Computer program language) http://id.loc.gov/authorities/subjects/sh2011002885 Parallel computers. http://id.loc.gov/authorities/subjects/sh89004421 Parallel programming (Computer science) http://id.loc.gov/authorities/subjects/sh85097827 OpenCL (Langage de programmation) Ordinateurs parallèles. Programmation parallèle (Informatique) COMPUTERS Programming Languages C♯ bisacsh COMPUTERS Programming Languages Java. bisacsh COMPUTERS Programming Languages Pascal. bisacsh OpenCL (Computer program language) fast Parallel computers fast Parallel programming (Computer science) fast |
| topic_facet | OpenCL (Computer program language) Parallel computers. Parallel programming (Computer science) OpenCL (Langage de programmation) Ordinateurs parallèles. Programmation parallèle (Informatique) COMPUTERS Programming Languages C♯ COMPUTERS Programming Languages Java. COMPUTERS Programming Languages Pascal. Parallel computers |
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