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Programming in Parallel with CUDA
Buch von Richard Ansorge
Sprache: Englisch

74,45 €*

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Lieferzeit 2-3 Wochen

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Beschreibung
This practical guide shows how to analyse, manipulate or simulate scientific or other numerical data using the power of modern GPUs to greatly increase the speed of calculations. Aimed at researchers and graduate students, it contains numerous real-world examples in clear uncluttered C++ code. All example code is available online.
This practical guide shows how to analyse, manipulate or simulate scientific or other numerical data using the power of modern GPUs to greatly increase the speed of calculations. Aimed at researchers and graduate students, it contains numerous real-world examples in clear uncluttered C++ code. All example code is available online.
Über den Autor
Richard 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).
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2024
Fachbereich: EDV
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9781108479530
ISBN-10: 1108479537
Sprache: Englisch
Einband: Gebunden
Autor: Ansorge, Richard
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 260 x 183 x 30 mm
Von/Mit: Richard Ansorge
Erscheinungsdatum: 14.10.2024
Gewicht: 1,086 kg
Artikel-ID: 120994357
Über den Autor
Richard 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).
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2024
Fachbereich: EDV
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9781108479530
ISBN-10: 1108479537
Sprache: Englisch
Einband: Gebunden
Autor: Ansorge, Richard
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 260 x 183 x 30 mm
Von/Mit: Richard Ansorge
Erscheinungsdatum: 14.10.2024
Gewicht: 1,086 kg
Artikel-ID: 120994357
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