As the computing capacity of the uniprocessor is being taxed, and the high cost of parallel and super-computers is still prevalent, alternative methods of achieving parallel performance at an economical price are desired. This proposed research effort offers one such alternative, focusing on the idle CPU cycles existing on local area networks. With the increase in the computing power of workstations and their declining costs, one can effectively transform the unused computing power attached to a local area network into a parallel processing environment. Effectively exploiting such an environment, however, requires a specification and operational framework that is portable, easy to use, and efficient. The environment is constructed around th...
This paper describes an environment for performance-oriented design of portable parallel software. T...
: Distributed memory parallel systems are still lacking simple and economic programmability. In this...
International audienceIn this paper, we focus on a distributed and parallel programming paradigm for...
Linda is an approach to parallelism which relies on a virtual associative shared memory called tuple...
Distributed computing is a form of parallel computing, but parallel computing is most commonly used ...
One of the most sought after software innovation of this decade is the construction of systems using...
Linda is a parallel programming language that differs from other parallel languages in its simplicit...
HIGHLAND, a distributed-memory parallel processing environment for heterogeneous local area networks...
Parallel computers can take many different architectural forms. One cost effective and convenient me...
This paper presents a parallel programming model, Parallel Phase Model (PPM), for next-generation hi...
HIGHLAND, a UNIX-based parallel processing system for heterogeneous local area networks has been des...
Combining easy-to-use parallelism, portability and efficiency is a very hard task when traditional p...
In this thesis, parallel computing on installed local area networks (LAN) is focused, analyzing prob...
The programming of parallel and distributed applications is difficult. The proliferation of net wor...
High performance computing can be associated with a method to improve the performance of an applica...
This paper describes an environment for performance-oriented design of portable parallel software. T...
: Distributed memory parallel systems are still lacking simple and economic programmability. In this...
International audienceIn this paper, we focus on a distributed and parallel programming paradigm for...
Linda is an approach to parallelism which relies on a virtual associative shared memory called tuple...
Distributed computing is a form of parallel computing, but parallel computing is most commonly used ...
One of the most sought after software innovation of this decade is the construction of systems using...
Linda is a parallel programming language that differs from other parallel languages in its simplicit...
HIGHLAND, a distributed-memory parallel processing environment for heterogeneous local area networks...
Parallel computers can take many different architectural forms. One cost effective and convenient me...
This paper presents a parallel programming model, Parallel Phase Model (PPM), for next-generation hi...
HIGHLAND, a UNIX-based parallel processing system for heterogeneous local area networks has been des...
Combining easy-to-use parallelism, portability and efficiency is a very hard task when traditional p...
In this thesis, parallel computing on installed local area networks (LAN) is focused, analyzing prob...
The programming of parallel and distributed applications is difficult. The proliferation of net wor...
High performance computing can be associated with a method to improve the performance of an applica...
This paper describes an environment for performance-oriented design of portable parallel software. T...
: Distributed memory parallel systems are still lacking simple and economic programmability. In this...
International audienceIn this paper, we focus on a distributed and parallel programming paradigm for...