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[null,"1.","Record Nr.",null,"UNINA9910455861303321"]
[null,null,"Titolo",null,"The Oil Spill Recovery Institute : past, present, and future directions / / Committee to Review the Oil Spill Recovery Institute's Research Program, Polar Research Board, Ocean Studies Board, National Research Council of the National Academies"]
[null,null,"Pubbl/distr/stampa",null,"Washington, District of Columbia : , : National Academies Press, , [2003]"]
[{"$nulls":4},"©2003"]
[null,null,"ISBN",null,"0-309-18240-9"]
[null,null,"Descrizione fisica",null,"1 online resource (xiii, 165 pages)"]
[null,null,"Disciplina",null,"628.168330720798"]
[null,null,"Soggetti",null,"Oil pollution of the sea - Research"]
[{"$nulls":4},"Oil spills - Research - Alaska - Prince William Sound"]
[{"$nulls":4},"Oil pollution of water - Research"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,"2.","Record Nr.",null,"UNINA9910966759003321"]
[null,null,"Autore",null,"Cheng John"]
[null,null,"Titolo",null,"Professional CUDA C Programming"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, : Wiley, 2014"]
[null,null,"ISBN",null,"9781118739273"]
[{"$nulls":4},"1118739272"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (527 p.)"]
[null,null,"Disciplina",null,"004.35"]
[{"$nulls":4},"004/.35"]
[null,null,"Soggetti",null,"Computer architecture"]
[{"$nulls":4},"Multiprocessors"]
[{"$nulls":4},"Parallel processing (Electronic computers)"]
[{"$nulls":4},"Parallel programming (Computer science)"]
[{"$nulls":4},"Engineering & Applied Sciences"]
[{"$nulls":4},"Computer Science"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,"Nota di contenuto",null,"Cover; Title Page; Copyright; Contents; Chapter 1 Heterogeneous Parallel Computing with CUDA; Parallel Computing; Sequential and Parallel Programming; Parallelism; Computer Architecture; Heterogeneous Computing; Heterogeneous Architecture; Paradigm of Heterogeneous Computing; CUDA: A Platform for Heterogeneous Computing; Hello World from GPU; Is CUDA C Programming Difficult?; Summary; Chapter 2 CUDA Programming Model; Introducing the CUDA Programming Model; CUDA Programming Structure; Managing Memory; Organizing Threads; Launching a CUDA Kernel; Writing Your Kernel; Verifying Your Kernel"]
[{"$nulls":4},"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 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"]
[{"$nulls":4},"The Fermi ArchitectureThe Kepler Architecture; Profile-Driven Optimization; Understanding the Nature of Warp Execution; Warps and Thread Blocks; Warp Divergence; Resource Partitioning; Latency Hiding; Occupancy; Synchronization; Scalability; Exposing Parallelism; Checking Active Warps with nvprof; Checking Memory Operations with nvprof; Exposing More Parallelism; Avoiding Branch Divergence; The Parallel Reduction Problem; Divergence in Parallel Reduction; Improving Divergence in Parallel Reduction; Reducing with Interleaved Pairs; Unrolling Loops; Reducing with Unrolling"]
[{"$nulls":4},"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"]
[{"$nulls":4},"Performance TuningWhat Bandwidth Can a Kernel Achieve?; Memory Bandwidth; Matrix Transpose Problem; Matrix Addition with Unified Memory; Summary; Chapter 5 Shared Memory and Constant Memory; Introducing CUDA Shared Memory; Shared Memory; Shared Memory Allocation; Shared Memory Banks and Access Mode; Configuring the Amount of Shared Memory; Synchronization; Checking the Data Layout of Shared Memory; Square Shared Memory; Rectangular Shared Memory; Reducing Global Memory Access; Parallel Reduction with Shared Memory; Parallel Reduction with Unrolling"]
[{"$nulls":4},"Parallel Reduction with Dynamic Shared Memory"]
[null,null,null,"Sommario/riassunto","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 \""]