#### Filter Results:

- Full text PDF available (16)

#### Publication Year

1992

2017

- This year (2)
- Last 5 years (3)
- Last 10 years (7)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

- Eric Violard
- Parallel Processing Letters
- 1994

We present load-balancing strategies to improve the performances of parallel MPI applications running in a Grid environment. We analyze the data distribution constraints found in two scientific codes and propose adapted code transformations to load-balance computations. Experimental results confirm that such source code transformations can improve Grid… (More)

- Eric Violard, Guy-René Perrin
- Parallel Computing
- 1992

- Eric Violard, Guy-René Perrin
- PARLE
- 1993

- Eric Violard, Francis Filbet
- PDPTA
- 2002

- Eric Violard
- Parallel Computing
- 2004

We developed a theory in order to address crucial questions of program design methodology. This theory deals with data locality which is a main issue in parallel programming. In this article, we regard this theory and its model as a minimum semantic domain for data parallel languages. The introduction of a semantic domain is justified because the classical… (More)

- Eric Violard, Stéphane Genaud, Guy-René Perrin
- Algorithmic Languages and Calculi
- 1997

Parallel programs mainly diier from sequential ones in that they include geometrical aspects involved by the hardware architecture. We present in this paper the Pei formalism, which enables to take into account both the geometrical and functional aspects of programs. It provides a reenement calculus mainly used to transform the geometrical characteristics… (More)

- Eric Violard, Guy-René Perrin
- CONPAR
- 1994

- Olivier Hoenen, Michel Mehrenberger, Eric Violard
- PVM/MPI
- 2004

This paper presents an efficient parallel implementation of a Vlasov solver. Our implementation is based on an adaptive numerical scheme of resolution. The underlying numerical method uses a dyadic mesh which is particularly well suited to manage data locality. We have developed an adapted data distribution pattern based on a division of the computational… (More)

Solving the Vlasov equation represents a great challenge due to the huge size of the problem. A specific numerical adaptive method is used to reduce the amount of computations. This method uses a structured dyadic mesh. In this paper, we focus on the design of an appropriate data-structure for minimizing memory usage and time access. After having modeled… (More)