PhD ThesisThis thesis deals with the methodology and software of automatic parallelisation for numerical supercomputing and supercomputers. Basically, we focus on the problem of Uniform Recurrence Equations (URE) which exists widely in numerical computations. vVepropose a complete methodology of automatic generation of parallel programs for regular array designs. The methodology starts with an introduction of a set of canonical dependencies which generates a general modelling of the various URE problems. Based on these canonical dependencies, partitioning and mapping methods are developed which gives the foundation of the universal design process. Using the theoretical results we propose the structures of parallel programs and event...
Parallel programming allows the speed of computations to be increased by using multiple processors o...
The goal of this dissertation is to give programmers the ability to achieve high performance by focu...
We present a simple method for developing parallel and systolic programs from data dependence. We de...
A methodology for partitioning and mapping of arbitrary uniform recurrence equations (UREs) expresse...
A methodology for partitioning and mapping of arbitrary uniform recurrence equations (UREs) expresse...
Two approaches to architecture-independent parallel computation are investigated: a constructive fun...
AbstractThis paper describes a new method of automatic generation of concurrent programs which const...
2013 Spring.Includes bibliographical references.With the introduction of multi-core processors, moti...
Depuis la stagnation de la fréquence d’horloge des processeurs, l’accroissement de la puissance de c...
International audienceWe consider a system of uniform recurrence equations (URE) of dimension one. W...
© 2012 Dr. Paul BoneMulticore computing is ubiquitous, so programmers need to write parallel program...
With the rise of manycore processors, parallelism is becoming a mainstream necessity. Unfortunately,...
This session explores, through the use of formal methods, the “intuition” used in creating a paralle...
Automatic parallelization is one of the approaches aimed at a better and easier use of parallel comp...
Parallelization is one of the major challenges for programmers. But parallelizing existing code is ...
Parallel programming allows the speed of computations to be increased by using multiple processors o...
The goal of this dissertation is to give programmers the ability to achieve high performance by focu...
We present a simple method for developing parallel and systolic programs from data dependence. We de...
A methodology for partitioning and mapping of arbitrary uniform recurrence equations (UREs) expresse...
A methodology for partitioning and mapping of arbitrary uniform recurrence equations (UREs) expresse...
Two approaches to architecture-independent parallel computation are investigated: a constructive fun...
AbstractThis paper describes a new method of automatic generation of concurrent programs which const...
2013 Spring.Includes bibliographical references.With the introduction of multi-core processors, moti...
Depuis la stagnation de la fréquence d’horloge des processeurs, l’accroissement de la puissance de c...
International audienceWe consider a system of uniform recurrence equations (URE) of dimension one. W...
© 2012 Dr. Paul BoneMulticore computing is ubiquitous, so programmers need to write parallel program...
With the rise of manycore processors, parallelism is becoming a mainstream necessity. Unfortunately,...
This session explores, through the use of formal methods, the “intuition” used in creating a paralle...
Automatic parallelization is one of the approaches aimed at a better and easier use of parallel comp...
Parallelization is one of the major challenges for programmers. But parallelizing existing code is ...
Parallel programming allows the speed of computations to be increased by using multiple processors o...
The goal of this dissertation is to give programmers the ability to achieve high performance by focu...
We present a simple method for developing parallel and systolic programs from data dependence. We de...