Programming distributed memory parallel computers with message passing is often considered to be a difficult task. To overcome the drawbacks of this programming style, several efforts have been made in the field of new parallel programming languages. One example is the shared virtual memory programming model. SVM-Fortran is an extension of Fortran77 for programming shared virtual memory systems. It provides special notations for work distribution to optimize data locality and load balance. There exists a number of different tools for performance debugging in message passing systems, but none of these would fulfill the special requirements of the SVM programming model. Moreover, we observed that the user requirements for performance debuggin...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
This deliverable gives a detailed language specification of a data-parallel programming language for...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
Programming distributed memory parallel computers with message passing is often considered to be a d...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
This report outlines the design of a performance analysis environment for SVM-Fortran programs. SVM-...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
By using the shared memory programming model it is possible to parallelize applications step by step...
Vienna Fortran, a machine-independent language extension to Fortran which allows the user to write p...
SVM-Fortran is a language extension of Fortran 77 developed by KFA for shared memory parallel progra...
This article outlines the parallelization of an irregular grid application based on shared virtual m...
This paper describes a performance tuning tool, named SVMview, for DSM-based parallel computers. SVM...
This article outlines the parallelization of an irregular grid application with SVM-Fortran. It desc...
Highly parallel machines needed to solve compute-intensive scientific applications are based on the ...
For massively parallel systems, the well-known global address space is realized by the programming m...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
This deliverable gives a detailed language specification of a data-parallel programming language for...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
Programming distributed memory parallel computers with message passing is often considered to be a d...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
This report outlines the design of a performance analysis environment for SVM-Fortran programs. SVM-...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
By using the shared memory programming model it is possible to parallelize applications step by step...
Vienna Fortran, a machine-independent language extension to Fortran which allows the user to write p...
SVM-Fortran is a language extension of Fortran 77 developed by KFA for shared memory parallel progra...
This article outlines the parallelization of an irregular grid application based on shared virtual m...
This paper describes a performance tuning tool, named SVMview, for DSM-based parallel computers. SVM...
This article outlines the parallelization of an irregular grid application with SVM-Fortran. It desc...
Highly parallel machines needed to solve compute-intensive scientific applications are based on the ...
For massively parallel systems, the well-known global address space is realized by the programming m...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
This deliverable gives a detailed language specification of a data-parallel programming language for...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...