General Purpose Computing On Graphics Processing Units: Utilizing the Graphics Processing Unit (GPU) to carry out calculations that are normally performed by the CPU
About this audiobook
What Is General Purpose Computing On Graphics Processing Units
The term "general-purpose computing on graphics processing units" (also known as "general-purpose computing on GPUs") refers to the practice of employing a graphics processing unit (GPU), which ordinarily performs computation only for the purpose of computer graphics, to carry out computation in programs that are typically performed by the central processing unit (CPU). The already parallel nature of graphics processing may be further parallelized by using numerous video cards in a single computer or a large number of graphics processors.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: General-purpose computing on graphics processing units
Chapter 2: Supercomputer
Chapter 3: Flynn's taxonomy
Chapter 4: Graphics processing unit
Chapter 5: Physics processing unit
Chapter 6: Hardware acceleration
Chapter 7: Stream processing
Chapter 8: BrookGPU
Chapter 9: CUDA
Chapter 10: Close to Metal
Chapter 11: Larrabee (microarchitecture)
Chapter 12: AMD FireStream
Chapter 13: OpenCL
Chapter 14: OptiX
Chapter 15: Fermi (microarchitecture)
Chapter 16: Pascal (microarchitecture)
Chapter 17: Single instruction, multiple threads
Chapter 18: Multidimensional DSP with GPU Acceleration
Chapter 19: Compute kernel
Chapter 20: AI accelerator
Chapter 21: ROCm
(II) Answering the public top questions about general purpose computing on graphics processing units.
(III) Real world examples for the usage of general purpose computing on graphics processing units in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of general purpose computing on graphics processing units' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of general purpose computing on graphics processing units.
About the author
Fouad Sabry is the former Regional Head of Business Development for Applications at HP in Southern Europe, Middle East, and Africa (SEMEA). Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual masterâs degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010.
Fouad has more than 20 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM in Middle East and Africa (MEA) region. Fouad joined HP Middle East (ME), based in Dubai, United Arab Emirates (UAE) in 2013 and helped develop the software business in tens of markets across Southern Europe, Middle East, and Africa (SEMEA) regions. Currently, Fouad is an entrepreneur, author, futurist, focused on Emerging Technologies, and Industry Solutions, and founder of One Billion Knowledgeable (1BK) Initiative.
