This paper presents the SCOOPP (SCalable Object Oriented Parallel Programming) approach to support the design and execution of scalable parallel applications. The SCOOPP programming model aims the portability, dynamic scalability and efficiency of parallel applications. The SCOOPP is an hybrid compile and run-time system, which can perform parallelism extraction, supports explicit parallelism and performs dynamic granularity control at run-time. The mechanism that supports dynamic grain-size adaptation is presented and performance evaluated on two parallel systems. The measured results show the feasibility of the proposed dynamic grain-size adaptation and a scalability improvement of parallel applications over static parallel OO environment...
. In this paper we present a new method for achieving a higher cost--efficiency on parallel computer...
Parallel processing can provide the huge computational resources that are required to solve todays g...
It has become common knowledge that parallel programming is needed for scientific applications, part...
1. Introduction The SCOOPP (SCalable Object Oriented Parallel Programming) system described in [Sob...
While parallel programming is needed to solve large-scale scientific applications, it is more diffic...
The paper presents the mechanisms for dynamic load distribution implemented within the support for t...
This paper presents general concepts of Object Oriented Parallel Processing, also comparing two of t...
The paper addresses dynamic allocation of objects in a distributed object-oriented (OO for short) pr...
Achieving scalable performance for dynamic irregular applications is eminently challenging. Traditio...
Writing parallel code is difficult, especially when starting from a sequential reference implementat...
International audience[Excerpt from the introduction] The spreading of Distributed Memory Parallel C...
We present an object-oriented, parallel programming paradigm, called the distributed collection mode...
The programming of parallel and distributed applications is difficult. The proliferation of net wor...
Advances in hardware technologies combined with decreased costs have started a trend towards massive...
Writing parallel code is difficult, especially when starting from a sequential reference implementat...
. In this paper we present a new method for achieving a higher cost--efficiency on parallel computer...
Parallel processing can provide the huge computational resources that are required to solve todays g...
It has become common knowledge that parallel programming is needed for scientific applications, part...
1. Introduction The SCOOPP (SCalable Object Oriented Parallel Programming) system described in [Sob...
While parallel programming is needed to solve large-scale scientific applications, it is more diffic...
The paper presents the mechanisms for dynamic load distribution implemented within the support for t...
This paper presents general concepts of Object Oriented Parallel Processing, also comparing two of t...
The paper addresses dynamic allocation of objects in a distributed object-oriented (OO for short) pr...
Achieving scalable performance for dynamic irregular applications is eminently challenging. Traditio...
Writing parallel code is difficult, especially when starting from a sequential reference implementat...
International audience[Excerpt from the introduction] The spreading of Distributed Memory Parallel C...
We present an object-oriented, parallel programming paradigm, called the distributed collection mode...
The programming of parallel and distributed applications is difficult. The proliferation of net wor...
Advances in hardware technologies combined with decreased costs have started a trend towards massive...
Writing parallel code is difficult, especially when starting from a sequential reference implementat...
. In this paper we present a new method for achieving a higher cost--efficiency on parallel computer...
Parallel processing can provide the huge computational resources that are required to solve todays g...
It has become common knowledge that parallel programming is needed for scientific applications, part...