Add to ORKGInternational audienceA programming model that is widely approved today for large applications is parallel programming with shared variables. We propose an implementation of shared arrays on distributed memory architectures: it provides the user with an uniform addressing scheme while being effcient thanks to a logical paging technique and optimized communication mechanisms
Parallel programming has become increasingly important both as a programming skill and as a research...
In the realm of High Performance Computing (HPC), message passing has been the programming paradigm ...
. Interoperability in non-sequential applications requires communication to exchange information usi...
International audienceA programming model that is widely approved today for large applications is pa...
Distributed memory multiprocessor architectures offer enormous computational power, by exploiting th...
International audienceHigh Performance Fortran and other similar languages have been designed as a m...
This paper discusses some of the issues involved in implementing a shared-address space programming ...
Portability, efficiency, and ease of coding are all important considerations in choosing the program...
Programming nonshared memory systems is more difficult than programming shared memory systems, since...
International audienceHigh Performance Fortran and other similar languages have been designed as a m...
This thesis argues that a modular, source-to-source translation system for distributed-shared memory...
We outline an extension of Java for programming with distributed arrays. The basic programming style...
Any parallel program has abstractions that are shared by the program's multiple processes, includin...
Partitioned Global Address Space (PGAS) languages offer an attractive, high-productivity programming...
ABSTRACT We discuss a set of parallel array classes, MetaMP, for distributed-memory architectures. T...
Parallel programming has become increasingly important both as a programming skill and as a research...
In the realm of High Performance Computing (HPC), message passing has been the programming paradigm ...
. Interoperability in non-sequential applications requires communication to exchange information usi...
International audienceA programming model that is widely approved today for large applications is pa...
Distributed memory multiprocessor architectures offer enormous computational power, by exploiting th...
International audienceHigh Performance Fortran and other similar languages have been designed as a m...
This paper discusses some of the issues involved in implementing a shared-address space programming ...
Portability, efficiency, and ease of coding are all important considerations in choosing the program...
Programming nonshared memory systems is more difficult than programming shared memory systems, since...
International audienceHigh Performance Fortran and other similar languages have been designed as a m...
This thesis argues that a modular, source-to-source translation system for distributed-shared memory...
We outline an extension of Java for programming with distributed arrays. The basic programming style...
Any parallel program has abstractions that are shared by the program's multiple processes, includin...
Partitioned Global Address Space (PGAS) languages offer an attractive, high-productivity programming...
ABSTRACT We discuss a set of parallel array classes, MetaMP, for distributed-memory architectures. T...
Parallel programming has become increasingly important both as a programming skill and as a research...
In the realm of High Performance Computing (HPC), message passing has been the programming paradigm ...
. Interoperability in non-sequential applications requires communication to exchange information usi...