Introduction There are many efforts in parallel programming environments (PPE) for translating sequential program into parallel codes and for aiding programmers in writing parallel program efficiently and correctly. Examples are CASE [1], ParaScope [3], CEDAR [5], Parafrase [6], Tiny [7]. Because efficient parallel programs are difficultly to be obtained due to different program characteristics and asynchronous behaviours of the parallel parts, the user's experience and knowledge is necessary to parallelize a program with low overhead. The different program characteristics ask for different parallelizing strategies and algorithms. Many existing PPEs are not feasible to every application and computer architecture. Interactive user inte...
[[abstract]]Traditionally, to program a distributed memory multiprocessor, a programmer is responsib...
The parallelization of real-world compute intensive Fortran application codes is generally not a tri...
Introduction Most users find parallel programming difficult for at least four reasons. First, paral...
Traditionally, languages were created and intended for sequential machines and were, naturally, sequ...
The ParaScope parallel programming environment, developed to support scientic programming of shared-...
Programming environments are used to bridge the gap between actual computers ad developement of thei...
This paper describes a development environment for parallel scientific code. The environment uses P...
This article introduces an interactive parallel programming environment (IPPE) that simplifies the g...
2Writing parallel programs is difficult. Besides the inherent difficulties associ-ated with writing ...
Introduction Parallel programming is in a state of flux. The choice of parallel programming paradig...
It is today's general wisdom that the productive use of parallel architectures depends cruciall...
The future of high performance computing lies in massively parallel computers. In order to create so...
This paper describes the architecture of a development environment for computer-aided parallel softw...
We present our effort to provide a comprehensive parallel programming environment for the OpenMP par...
Parallel software development must face the fact that different architectures require different impl...
[[abstract]]Traditionally, to program a distributed memory multiprocessor, a programmer is responsib...
The parallelization of real-world compute intensive Fortran application codes is generally not a tri...
Introduction Most users find parallel programming difficult for at least four reasons. First, paral...
Traditionally, languages were created and intended for sequential machines and were, naturally, sequ...
The ParaScope parallel programming environment, developed to support scientic programming of shared-...
Programming environments are used to bridge the gap between actual computers ad developement of thei...
This paper describes a development environment for parallel scientific code. The environment uses P...
This article introduces an interactive parallel programming environment (IPPE) that simplifies the g...
2Writing parallel programs is difficult. Besides the inherent difficulties associ-ated with writing ...
Introduction Parallel programming is in a state of flux. The choice of parallel programming paradig...
It is today's general wisdom that the productive use of parallel architectures depends cruciall...
The future of high performance computing lies in massively parallel computers. In order to create so...
This paper describes the architecture of a development environment for computer-aided parallel softw...
We present our effort to provide a comprehensive parallel programming environment for the OpenMP par...
Parallel software development must face the fact that different architectures require different impl...
[[abstract]]Traditionally, to program a distributed memory multiprocessor, a programmer is responsib...
The parallelization of real-world compute intensive Fortran application codes is generally not a tri...
Introduction Most users find parallel programming difficult for at least four reasons. First, paral...