
CPU-based Application Transformation to CUDA
Transformation of CPU-based Applications To Leverage on Graphics Processors using CUDA
LAP Lambert Academic Publishing
Published on 11. July 2012
Book
Paperback/Softback
88 pages
978-3-659-17121-5 (ISBN)
Description
Scientific computation requires a great amount of computing power especially in floating-point operation but a high-end multi-cores processor is currently limited in terms of floating point operation performance and parallelization. Recent technological advancement has made parallel computing technically and financially feasible using Compute Unified Device Architecture (CUDA) developed by NVIDIA. This research focuses on measuring the performance of CUDA and implementing CUDA for a scientific computation involving the process of porting the source code from CPU to GPU using direct integration technique. The ported source code is then optimized by managing the resources to achieve performance gain over CPU. It is found that CUDA is able to boost the performance of the system up to 69 times in Parboil Benchmark Suite. Successful attempt at porting Serpent encryption algorithm and Lattice Boltzmann Method provided up to 7 times throughput performance gain and up to 10 times execution time performance gain respectively over the CPU. Direct integration guideline for porting the source code is then produced based on the two implementations.
More details
Language
English
Place of publication
Germany
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
Illustrations, black and white
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 6 mm
Weight
149 gr
ISBN-13
978-3-659-17121-5 (9783659171215)
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Schweitzer Classification
Persons
Anas Mohd Nazlee received Masters of Science and Bachelors of Engineering in Electrical and Electronics Engineering from Universiti Teknologi PETRONAS, Malaysia in 2012 and 2009 respectively. Currently he is working as Design Engineer with Intel Microelectronics (M) Sdn. Bhd.