Designing Scientific Applications on GPUs

Preface

This book is intended to present the design of significant scientific applications

on GPUs. Scientific applications require more and more computational power

in a large variety of fields: biology, physics, chemistry, phenomon model and

prediction, simulation, mathematics, etc.

In order to be able to handle more complex applications, the use of parallel

architectures is the solution to decrease the execution times of these applica-

tions. Using many computing cores simulataneously can significantly speed up

the processing time.

Nevertheless using parallel architectures is not so easy and has always

required an endeavor to parallelize an application. ...