GPU Parallel Program Development Using CUDA

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Sprache: Englisch

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Beschreibung

This book teaches GPU programming by introducing CPU multi-threaded programming and bases GPU massively-parallel programming on this foundation. The differences among families of GPUs are also studied. The book also explores CUDA libraries, OpenCL, GPU programming with other languages and API libraries, and the deep learning library cuDNN

Über den Autor

Tolga Soyata is an associate professor in the Electrical and Computer Engineering department of SUNY Albany.

Inhaltsverzeichnis

Introduction to Parallelism and GPU Programming. Introduction to Pthreads. Introduction to Multi-threading. Multi-threading Analysis. Introduction to AWS and the first GPU program. Analysis of the first CUDA program. How to run programs outside Amazon, on a different Unix system. How to run programs outside Amazon, on a different Windows system. Introduction to GPU Multi-threading and Global Memory. In-depth look at Global Memory and GPU Threads. Introduction to Shared Memory. In-depth look at Shared Memory. Performance Bottlenecks in GPU Architecture. Compute Capability and PTX. Host-Device Data Movement Mechanism. CUDA Streaming. CUDA Atomics. OpenGL-CUDA Interoperability. OpenGL and Real-Time GPU Processing. Example Applications - Edge Detection (CUBLAS). Example Applications - Sophisticated Image Processing (CUFFT). Example Applications- Elastography Based Tumor Detection (CUSOLVER). Example Applications - Real-Time Face Recognition (OpenCV, CUBLAS).

Erscheinungsjahr:	2020
Fachbereich:	EDV
Genre:	Importe , Informatik
Rubrik:	Naturwissenschaften & Technik
Thema:	Lexika
Medium:	Taschenbuch
ISBN-13:	9780367572242
ISBN-10:	0367572249
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Soyata, Tolga
Hersteller:	Chapman and Hall/CRC
Verantwortliche Person für die EU:	Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße:	254 x 178 x 26 mm
Von/Mit:	Tolga Soyata
Erscheinungsdatum:	30.06.2020
Gewicht:	0,891 kg