Cantitate/Preț
Produs

Image Processing Using CUDA

Autor Pritam Shete, Surojit Kumar Bose
en Limba Engleză Paperback – 10 iun 2012
Nowadays, GPUs are multi-core parallel processors with very high memory bandwidth. Recently for last few years developers and researchers are offloading computationally intensive tasks to GPUs to gain significant speedup compared to the CPU. Most of the image processing algorithms perform same operation on a large number of pixels, which can be parallelized on single instruction multiple data GPU architecture. Initially shader based frameworks like GLSL, Cg etc have been used for GP-GPU. NVIDIA has developed CUDA to write scalable parallel programs in C like language. GLSL, Cg and CUDA provide significant speedup, however they offer complex integration frameworks and require specialized programming skills. Most of GPU based frameworks are developed using procedural programming, which limits the scope of flexibility, code reusability, information and complexity hiding. In this book, we bring in an object oriented framework for the CUDA based image processing. We demonstrate a set of design patterns exploiting programming advantages of an object oriented language, such as encapsulation, information hiding, code reusability, complexity hiding and extensibility.
Citește tot Restrânge

Preț: 27710 lei

Preț vechi: 34636 lei
-20% Nou

Puncte Express: 416

Preț estimativ în valută:
5303 5503$ 4432£

Carte tipărită la comandă

Livrare economică 15-29 martie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783659135569
ISBN-10: 3659135569
Pagini: 88
Dimensiuni: 152 x 229 x 5 mm
Greutate: 0.14 kg
Editura: LAP LAMBERT ACADEMIC PUBLISHING AG & CO KG
Colecția LAP Lambert Academic Publishing

Notă biografică

BE Computer from Mumbai University, Homi Bhabha gold medalist, DAE Group Achievement Award winner, currently working as Scientific Officer 'D' at Bhabha Atomic Research Centre, Mumbai, India, His areas of interest include image processing, object oriented programming, computer graphics, design patterns & parallel programming.