Programming in Parallel with CUDA
A Practical Guide
Published on 18. May 2022
978-1-108-85888-5 (ISBN)
Description
CUDA is now the dominant language used for programming GPUs, one of the most exciting hardware developments of recent decades. With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a HPC facility. As a result, CUDA is increasingly important in scientific and technical computing across the whole STEM community, from medical physics and financial modelling to big data applications and beyond. This unique book on CUDA draws on the author's passion for and long experience of developing and using computers to acquire and analyse scientific data. The result is an innovative text featuring a much richer set of examples than found in any other comparable book on GPU computing. Much attention has been paid to the C++ coding style, which is compact, elegant and efficient. A code base of examples and supporting material is available online, which readers can build on for their own projects.
More details
Language
English
Place of publication
Cambridge
United Kingdom
Illustrations
Worked examples or Exercises
File size
14,15 MB
ISBN-13
978-1-108-85888-5 (9781108858885)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
06/2022
Cambridge University Press
€70.20
Shipment within 15-20 days
Person
Content
1. Introduction to GPU kernels and hardware; 2. Thinking and coding in parallel; 3. Warps and cooperative groups; 4. Parallel stencils; 5. Textures; 6. Monte Carlo applications; 7. Concurrency using CUDA streams and events; 8. Application to PET scanners; 9. Scaling up; 10. Tools for profiling and debugging; 11. Tensor cores; A. A brief history of CUDA; B. Atomic operations; C. The NVCC complier; D. AVX and the Intel complier; E. Number formats; F. CUDA documentation and libraries; G. The CX header files; H. AI and Python; I. Topics in C++; Index.
