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OverviewFull Product DetailsAuthor: Richard Ansorge (University of Cambridge)Publisher: Cambridge University Press Imprint: Cambridge University Press Edition: New edition Dimensions: Width: 18.10cm , Height: 2.50cm , Length: 26.00cm Weight: 1.150kg ISBN: 9781108479530ISBN 10: 1108479537 Pages: 395 Publication Date: 02 June 2022 Audience: General/trade , General Format: Hardback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of Contents1. 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.ReviewsAuthor InformationRichard Ansorge is Emeritus University Senior Lecturer at the Cavendish Laboratory, University of Cambridge and Emeritus Tutor and Fellow at Fitzwilliam College, Cambridge. He is the author of over 170 peer-reviewed publications and co-author of the book The Physics and Mathematics of MRI (2016). Tab Content 6Author Website:Countries AvailableAll regions |