A bridging model for parallel computation
Communications of the ACM
Data-parallel programming on MIMD computers
Data-parallel programming on MIMD computers
The high performance Fortran handbook
The high performance Fortran handbook
Using MPI: portable parallel programming with the message-passing interface
Using MPI: portable parallel programming with the message-passing interface
Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
A Loosely Synchronized Execution Model for a Simple Data-Parallel Language (Extended Abstract)
Euro-Par '96 Proceedings of the Second International Euro-Par Conference on Parallel Processing - Volume I
The Data Parallel Programming Model: Foundations, HPF Realization, and Scientific Applications
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Parallelism suffers from a lack of programming languages both simple to handle and able to take advantage of the power of present parallel computers. If parallelism expression is too high level, compilers have to perform complex optimizations leading often to poor performances. One the other hand, too low level parallelism transfers difficulties toward the programmer.In this paper, we propose a new programming language that integrates both a synchronous data-parallel programming model and an asynchronous execution model. The synchronous data-parallel programming model allows a safe program designing. The asynchronous execution model yields an efficient execution on present MIMD architectures without any program transformation. Our language relies on a logical instruction ordering exploited by specific send/receive communications. It allows to express only the effective data dependences between processors. This ability is enforced by a possible send/receive unmatching useful for irregular algorithms. A sparse vector computation exemplifies our language potentialities.