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Présentation Data Parallel C++ de Reinders, James Format Broché
- Livre Informatique
Résumé : Biographie: Sommaire: Chapter 1: Introduction.- Chapter 2: Where Code Executes.- Chapter 3: Data Management and Ordering the Uses of Data.- Chapter 4: Expressing Parallelism.- Chapter 5: Error Handling.- Chapter 6: Unified Shared Memory.- Chapter 7: Buffers.- Chapter 8: Scheduling Kernels and Data Movement.- Chapter 9: Local Memory and Work-group Barriers.- Chapter 10: Defining Kernels.- Chapter 11: Vector and Math Arrays.- Chapter 12: Device Information and Kernel Specialization.- Chapter 13: Practical Tips.- Chapter 14: Common Parallel Patterns.- Chapter 15: Programming for GPUs.- Chapter 16: Programming for CPUs.- Chapter 17: Programming for FFGAs.- Chapter 18: Libraries.- Chapter 19: Memory Model and Atomics.- Chapter 20: Backend Interoperability.- Chapter 21: Migrating CUDA Code.- Epilogue.
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This book, now in is second edition, is the premier resource to learn SYCL 2020 and is the ONLY book you need to become part of this community. Erik Lindahl, GROMACS and Stockholm University Learn how to accelerate C++ programs using data parallelism and SYCL. This open access book enables C++ programmers to be at the forefront of this exciting and important development that is helping to push computing to new levels. This updated second edition is full of practical advice, detailed explanations, and code examples to illustrate key topics.
James Reinders is an Engineer at Intel Corporation with more than four decades of experience in parallel computing and is an author/co-author/editor of more than 10 technical books related to parallel programming. He has a passion for system optimization and teaching. He has had the great fortune to help make contributions to three of the world's fastest computers (#1 on the TOP500 list) as well as many other supercomputers and software developer tools.