Add to ORKGProgramming distributed memory multiprocessors requires program parallelization as well as program optimization with respect to data locality. SVM-Fortran is a programming language for shared virtual memory architectures with special language features for specifying the distribution of parallel tasks onto the processors. It is realized on top of a shared virtual memory implementation on Intel Paragon. A programming environment provides performance analysis tools helping the user in the optimization of data locality. This paper outlines the environment, describes the basic concepts of the performance analysis support, and presents a design for the automation of performance analysis
This paper describes a performance tuning tool, named SVMview, for DSM-based parallel computers. SVM...
By using the shared memory programming model it is possible to parallelize applications step by step...
P 3 T is an interactive performance estimator that assists users in performance tuning of scientif...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
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 parallel computers with message passing is often considered to be a d...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
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 deliverable gives a detailed language specification of a data-parallel programming language for...
Highly parallel machines needed to solve compute-intensive scientific applications are based on the ...
Vienna Fortran, a machine-independent language extension to Fortran which allows the user to write p...
SVM-Fortran is a language designed to program highly parallel systems with a global address space. A...
This paper describes a performance tuning tool, named SVMview, for DSM-based parallel computers. SVM...
By using the shared memory programming model it is possible to parallelize applications step by step...
P 3 T is an interactive performance estimator that assists users in performance tuning of scientif...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
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 parallel computers with message passing is often considered to be a d...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
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 deliverable gives a detailed language specification of a data-parallel programming language for...
Highly parallel machines needed to solve compute-intensive scientific applications are based on the ...
Vienna Fortran, a machine-independent language extension to Fortran which allows the user to write p...
SVM-Fortran is a language designed to program highly parallel systems with a global address space. A...
This paper describes a performance tuning tool, named SVMview, for DSM-based parallel computers. SVM...
By using the shared memory programming model it is possible to parallelize applications step by step...
P 3 T is an interactive performance estimator that assists users in performance tuning of scientif...
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