The first chapter of this book describes the basic hardware structure of GPUs and provides a brief overview of their history. Chapter 2 provides a summary of GPU programming models relevant to the rest of the book.
The book then details the thought behind CUDA and teaches how to create, analyze, and debug CUDA applications.
... x86 CPU , x86 server Hardware Tested Environment Yellow Dog Enterprise Linux ( x86 , 64 - bit ) , Cent OS 5.3 ( 32 ... NVIDIA OpenCL NVIDIA has released their OpenCL implementation for their GPU . NVIDIA also has a GPGPU ...
The tensor transpose routines developed in this work have been incorporated into a general-purpose tensor algebra library (TAL-SH).
... x86 CPUs (optimized for making single threads run fast) cannot be efficiently extrapolated forward in time. Focus ... Nvidia Fermi architecture [3]. To ensure widespread take-up, however, we must now address the particular ...
The last part illustrates agent-based simulations, pseudorandom number generation, and the solution of large sparse linear systems for integer factorization. Some of the codes presented in the book are available online.
Jon Peddie. The Llano used AMD's latest processor, code named Steamroller, a four-core K10 x86 CPU, and a Radeon HD 6000-series GPU on a 228 mm2 die. AMD had it fabricated at Global Foundries in 32 nm. The GPU in the Llano was AMD's Redwood ...
This succinct and enlightening overview is a required reading for all those interested in the subject . We hope you find this book useful in shaping your future career & Business.
... Nvidia GPU x86 CPU K40 K20 1200 Peak GFlop / s 800 M2090- M2050 Sandy Ivy 400 M1060 Westmere bridge bridge Nehalem Memory bandwidth ( GB / s ) 400 Nvidia GPU x86 CPU 300 K40 K20 M2090 200 M2050 M1060 100 Sandy Ivy bridge bridge ...
... ) C SWAN ( CUDA to OpenCL translation ) OpenCL NVIDIA GPU X86 64 CPU AMD GPU The PGI CUDA x86 Compiler The concept behind native x86. 180 CHAPTER 8 : CUDA for All GPU and CPU Applications Pathways from CUDA to Multiple Hardware Backends.