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
The shared data-object model is designed to ease the implementation of parallel applications on loos...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
[[abstract]]An increasing number of programming languages, such as Fortran 90, HPF, and APL, provide...
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...
Portability, efficiency, and ease of coding are all important considerations in choosing the program...
We discuss a set of parallel array classes, MetaMP, for distributed-memory architectures. The classe...
This paper discusses some of the issues involved in implementing a shared-address space programming ...
This paper presents an implementation of a parallel logic programming system on a distributed shared...
. Interoperability in non-sequential applications requires communication to exchange information usi...
Abstract. We present a framework for parallel programming. It consists of a distributed shared memor...
Abstract. The shared memory paradigm provides many benefits to the parallel programmer, particular w...
Operating system primitives (e.g., problem-oriented shared memory, shared virtual memory, the Agora ...
ABSTRACT We discuss a set of parallel array classes, MetaMP, for distributed-memory architectures. T...
In this paper we examine the use of a shared memory programming model to address the problem of port...
The shared data-object model is designed to ease the implementation of parallel applications on loos...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
[[abstract]]An increasing number of programming languages, such as Fortran 90, HPF, and APL, provide...
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...
Portability, efficiency, and ease of coding are all important considerations in choosing the program...
We discuss a set of parallel array classes, MetaMP, for distributed-memory architectures. The classe...
This paper discusses some of the issues involved in implementing a shared-address space programming ...
This paper presents an implementation of a parallel logic programming system on a distributed shared...
. Interoperability in non-sequential applications requires communication to exchange information usi...
Abstract. We present a framework for parallel programming. It consists of a distributed shared memor...
Abstract. The shared memory paradigm provides many benefits to the parallel programmer, particular w...
Operating system primitives (e.g., problem-oriented shared memory, shared virtual memory, the Agora ...
ABSTRACT We discuss a set of parallel array classes, MetaMP, for distributed-memory architectures. T...
In this paper we examine the use of a shared memory programming model to address the problem of port...
The shared data-object model is designed to ease the implementation of parallel applications on loos...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
[[abstract]]An increasing number of programming languages, such as Fortran 90, HPF, and APL, provide...