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1. |
Record Nr. |
UNINA9910458434103321 |
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Autore |
Cheng John |
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Titolo |
Professional CUDA C Programming [[electronic resource]] |
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Pubbl/distr/stampa |
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ISBN |
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Descrizione fisica |
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1 online resource (527 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computer architecture |
Multiprocessors |
Parallel processing (Electronic computers) |
Parallel programming (Computer science) |
Engineering & Applied Sciences |
Computer Science |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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Cover; Title Page; Copyright; Contents; Chapter 1 Heterogeneous Parallel Computing with CUDA; Parallel Computing; Sequential and Parallel Programming; Parallelism; Computer Architecture; Heterogeneous Computing; Heterogeneous Architecture; Paradigm of Heterogeneous Computing; CUDA: A Platform for Heterogeneous Computing; Hello World from GPU; Is CUDA C Programming Difficult?; Summary; Chapter 2 CUDA Programming Model; Introducing the CUDA Programming Model; CUDA Programming Structure; Managing Memory; Organizing Threads; Launching a CUDA Kernel; Writing Your Kernel; Verifying Your Kernel |
Handling ErrorsCompiling and Executing; Timing Your Kernel; Timing with CPU Timer; Timing with nvprof; Organizing Parallel Threads; Indexing Matrices with Blocks and Threads; Summing Matrices with a 2D Grid and 2D Blocks; Summing Matrices with a 1D Grid and 1D Blocks; Summing Matrices with a 2D Grid and 1D Blocks; Managing Devices; Using the Runtime API to Query GPU Information; Determining |
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the Best GPU; Using nvidia-smi to Query GPU Information; Setting Devices at Runtime; Summary; Chapter 3 CUDA Execution Model; Introducing the CUDA Execution Model; GPU Architecture Overview |
The Fermi ArchitectureThe Kepler Architecture; Profile-Driven Optimization; Understanding the Nature of Warp Execution; Warps and Thread Blocks; Warp Divergence; Resource Partitioning; Latency Hiding; Occupancy; Synchronization; Scalability; Exposing Parallelism; Checking Active Warps with nvprof; Checking Memory Operations with nvprof; Exposing More Parallelism; Avoiding Branch Divergence; The Parallel Reduction Problem; Divergence in Parallel Reduction; Improving Divergence in Parallel Reduction; Reducing with Interleaved Pairs; Unrolling Loops; Reducing with Unrolling |
Reducing with Unrolled WarpsReducing with Complete Unrolling; Reducing with Template Functions; Dynamic Parallelism; Nested Execution; Nested Hello World on the GPU; Nested Reduction; Summary; Chapter 4 Global Memory; Introducing the CUDA Memory Model; Benefits of a Memory Hierarchy; CUDA Memory Model; Memory Management; Memory Allocation and Deallocation; Memory Transfer; Pinned Memory; Zero-Copy Memory; Unified Virtual Addressing; Unified Memory; Memory Access Patterns; Aligned and Coalesced Access; Global Memory Reads; Global Memory Writes; Array of Structures versus Structure of Arrays |
Performance TuningWhat Bandwidth Can a Kernel Achieve?; Memory Bandwidth; Matrix Transpose Problem; Matrix Addition with Unified Memory; Summary; Chapter 5 Shared Memory and Constant Memory; Introducing CUDA Shared Memory; Shared Memory; Shared Memory Allocation; Shared Memory Banks and Access Mode; Configuring the Amount of Shared Memory; Synchronization; Checking the Data Layout of Shared Memory; Square Shared Memory; Rectangular Shared Memory; Reducing Global Memory Access; Parallel Reduction with Shared Memory; Parallel Reduction with Unrolling |
Parallel Reduction with Dynamic Shared Memory |
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Sommario/riassunto |
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Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA -- a parallel computing platform and programming model designed to ease the development of GPU programming -- fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the " |
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2. |
Record Nr. |
UNISA996204082603316 |
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Titolo |
East European Jewish affairs |
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Pubbl/distr/stampa |
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London, : Routledge, 1992- |
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Jews - Former Soviet republics |
Jews - Soviet Union |
Jews - Europe, Eastern |
Ethnic relations |
Jews |
Periodicals. |
Former Soviet republics Ethnic relations Periodicals |
Soviet Union Ethnic relations Periodicals |
Europe, Eastern Ethnic relations Periodicals |
Eastern Europe |
Soviet Union |
Soviet Union Former Soviet republics |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Periodico |
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Note generali |
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3. |
Record Nr. |
UNINA9910811205803321 |
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Autore |
Falconer Melanie |
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Titolo |
College study hacks : 101 ways to study easier and faster / / by Melanie Falconer |
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Pubbl/distr/stampa |
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Ocala, Florida : , : Atlantic Publishing Group, Inc., , [2017] |
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©2017 |
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ISBN |
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Descrizione fisica |
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1 online resource (232 pages) |
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Disciplina |
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Soggetti |
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Study skills |
College student orientation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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