Digital Design Using VHDL : A Systems Approach

Dally, William J.; Harting, R. Curtis; Aamodt, Tor M.

ISBN 10: 1107098866 / ISBN 13: 9781107098862

Edité par Cambridge University Press, 2016

A propos de cet article

Unread book in perfect condition. N° de réf. du vendeur 24162489

Détails bibliographiques

Titre : Digital Design Using VHDL : A Systems ...

Éditeur : Cambridge University Press

Date d'édition : 2016

Reliure : Couverture rigide

Etat : As New

A propos de ce titre

Biographie de l'auteur:

William J. Dally is the Willard R. and Inez Kerr Bell Professor of Engineering at Stanford University and Chief Scientist at NVIDIA Corporation. He and his group have developed system architecture, network architecture, signaling, routing and synchronization technology that can be found in most large parallel computers today. He is a Member of the National Academy of Engineering, a Fellow of the IEEE, a Fellow of the ACM and a Fellow of the American Academy of Arts and Sciences. He has received numerous honors including the ACM Eckert–Mauchly Award, the IEEE Seymour Cray Award and the ACM Maurice Wilkes Award.

R. Curtis Harting is a Software Engineer at Google and holds a PhD from Stanford University. He graduated with honors in 2007 from Duke University with a BSE, majoring in Electrical and Computer Engineering and Computer Science. He received his MS in 2009 from Stanford University.

Tor M. Aamodt is an Associate Professor in the Department of Electrical and Computer Engineering at the University of British Columbia. Alongside his graduate students, he developed the GPGPU-Sim simulator. Three of his papers related to the architecture of general purpose GPUs have been selected as 'Top Picks' by IEEE Micro Magazine and one as a 'Research Highlight' by Communications of the ACM magazine. He was a Visiting Associate Professor in the Computer Science Department at Stanford University during his 2012–2013 sabbatical, and from 2004 to 2006 he worked at NVIDIA on the memory system architecture ('framebuffer') of the GeForce 8 Series GPU.