Hardware Acceleration of EDA Algorithms, 2010 Custom ICs, FPGAs and GPUs
Auteurs : Khatri Sunil P, Gulati Kanupriya
Provides guidelines on whether to use GPUs or FPGAs when accelerating a given EDA algorithm, with validation by a concrete example implemented on both platforms
Demonstrates the acceleration of several popular EDA algorithms on GPUs, with speedups from 30X to 800X
Presents techniques in a way that the reader can use example algorithms presented to determine how best to accelerate their specific EDA algorithm
Discusses an automatic approach to generate GPU code, given regular uniprocessor code
Includes supplementary material: sn.pub/extras
Date de parution : 09-2014
Ouvrage de 192 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 138,03 €
Ajouter au panierDate de parution : 04-2010
Ouvrage de 192 p.
15.5x23.5 cm