Performance Tuning of Scientific Applications

Author:   David H. Bailey ,  Robert F. Lucas ,  Samuel Williams
Publisher:   Taylor & Francis Inc
Volume:   v. 11
ISBN:  

9781439815694


Pages:   400
Publication Date:   23 November 2010
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $273.00 Quantity:  
Add to Cart

Share |

Performance Tuning of Scientific Applications


Add your own review!

Overview

Full Product Details

Author:   David H. Bailey ,  Robert F. Lucas ,  Samuel Williams
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Volume:   v. 11
Dimensions:   Width: 15.60cm , Height: 2.80cm , Length: 23.40cm
Weight:   0.680kg
ISBN:  

9781439815694


ISBN 10:   1439815690
Pages:   400
Publication Date:   23 November 2010
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Reviews

Author Information

David Bailey is a chief technologist in the High Performance Computational Research Department at the Lawrence Berkeley National Laboratory. Dr. Bailey has published several books and numerous research studies on computational and experimental mathematics. He has been a recipient of the ACM Gordon Bell Prize, the IEEE Sidney Fernbach Award, and the MAA Chauvenet Prize and Merten Hasse Prize. Robert Lucas is the director of computational sciences in the Information Sciences Institute and a research associate professor in computer science in the Viterbi School of Engineering at the University of Southern California. Dr. Lucas has many years of experience working with high-end defense, national intelligence, and energy applications and simulations. His linear solvers are the computational kernels of electrical and mechanical CAD tools. Samuel Williams is a researcher in the Future Technologies Group at the Lawrence Berkeley National Laboratory. Dr. Williams has authored or co-authored thirty technical papers, including several award-winning papers. His research interests include high-performance computing, auto-tuning, computer architecture, performance modeling, and VLSI.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List