Hardware Acceleration of EDA Algorithms: GPU Architecture and the CUDA Programming Model
Department of Electrical and Computer Engineering, Texas A & M University, College Station TX, 77843-3128, 214 Zachry Engineering Center, USA
Hardware Acceleration of EDA Algorithms, 2010, Part 1, 23-30
@book{gulati2010hardware,
title={Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs},
author={Gulati, K. and Khatri, S.P.},
isbn={1441909435},
year={2010},
publisher={Springer Verlag}
}
In this chapter we discuss the programming environment and model for programming the NVIDIA GeForce 280 GTX GPU, NVIDIA Quadro 5800 FX, and NVIDIA GeForce 8800 GTS devices, which are the GPUs used in our implementations. We discuss the hardware model, memory model, and the programmingmodel for these devices, in order to provide background for the reader to understand the GPU platform better.
March 18, 2011 by hgpu
