| Description |
1 online resource : color illustrations |
| Series |
Wrox : Programmer to Programmer |
| Summary |
This book presents CUDA, a parallel computing platform and programming model designed to ease the development of GPU programming. It demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. Topics include: CUDA programming model; GPU execution Model; GPU Memory model; Streams, event and concurrency; multi-GPU programming; CUDA domain-specific libraries; profiling and performance tuning. -- Edited summary from book |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Parallel programming (Computer science)
|
|
COMPUTERS -- Programming -- Parallel.
|
|
Parallel programming (Computer science)
|
| Form |
Electronic book
|
| Author |
Grossman, Max
|
|
KcKercher, Ty
|
| ISBN |
9781118739273 |
|
1118739272 |
|
132209490X |
|
9781322094908 |
|
9781118739327 |
|
1118739329 |
|
9781118739310 |
|
1118739310 |
|
