nd templates, an interactive user guidance mechanism, and automatic program synthesis techniques. On-going work aims at the integration and further development of sofar demonstrated results with additional advanced technologies, into comprehensive application engineering and problem-solving environments for productive parallel computing with distributed resources. APPLICATION ENGINEERING TOOLS 2 1 Introduction Despite enormous efforts, practical applicability of parallel computer systems still lacks far behind expectations and their productive usage has basically only been realized in highcompetence places like national laboratories. Based on its mission to ease the application of high-performance computing and networking, and on the obse...
It is today's general wisdom that the productive use of parallel architectures depends cruciall...
There is a strong belief in the potential of large distributed memory parallel computers in the deve...
A suite of software tools is presented for managing a large parallel programming project. The tools ...
. In this paper, we present an interdisciplinary research project whose central objective is to deve...
The construction of supercomputers assembled from scalable massively-parallel computer hardware beca...
Describes the architecture of a development environment for computer-aided parallel software enginee...
The Universities of Kaiserlautern and Karlsruhe are cooperating with the CEC Karlsruhe, a research c...
Methods for the parallelization of complex software systems in scientific computing have been develo...
In recent years, considerable interest in the design of parallel and distributed applications has em...
Multi-core processors offer increased speed and efficiency on various devices, from desktop computer...
TRAPPER ] is a graphical programming environment for parallel systems. The novel approach introdu...
This paper describes the architecture of a development environment for computer-aided parallel softw...
Not many CNSF users undertake the arduous task of parallelizing their programs. Of course, training,...
Rationale: Many different tools exist for development of scientific computing applications. Most of ...
Parallelization of high performance computing applications has been a field of active research for q...
It is today's general wisdom that the productive use of parallel architectures depends cruciall...
There is a strong belief in the potential of large distributed memory parallel computers in the deve...
A suite of software tools is presented for managing a large parallel programming project. The tools ...
. In this paper, we present an interdisciplinary research project whose central objective is to deve...
The construction of supercomputers assembled from scalable massively-parallel computer hardware beca...
Describes the architecture of a development environment for computer-aided parallel software enginee...
The Universities of Kaiserlautern and Karlsruhe are cooperating with the CEC Karlsruhe, a research c...
Methods for the parallelization of complex software systems in scientific computing have been develo...
In recent years, considerable interest in the design of parallel and distributed applications has em...
Multi-core processors offer increased speed and efficiency on various devices, from desktop computer...
TRAPPER ] is a graphical programming environment for parallel systems. The novel approach introdu...
This paper describes the architecture of a development environment for computer-aided parallel softw...
Not many CNSF users undertake the arduous task of parallelizing their programs. Of course, training,...
Rationale: Many different tools exist for development of scientific computing applications. Most of ...
Parallelization of high performance computing applications has been a field of active research for q...
It is today's general wisdom that the productive use of parallel architectures depends cruciall...
There is a strong belief in the potential of large distributed memory parallel computers in the deve...
A suite of software tools is presented for managing a large parallel programming project. The tools ...