Vienna Fortran, a machine-independent language extension to Fortran which allows the user to write programs for distributed-memory systems using global addresses, provides the forall-loop construct for specifying irregular computations that do not cause interiteration dependences. Compilers for distributedmemory systems generate code that is based on runtime analysis techniques and is only efficient if, in addition, aggressive compile-time optimizations are applied. Since these optimizations are difficult to perform we propose to generate shared virtual memory code instead that can benefit from appropriate operating system or hardware support. This paper presents the shared virtual memory code generation, compares both approaches and gives ...
With the advent of Distributed Memory Machines (DMMs) numerous work have been undertaken to ease the...
To simplify the programming of hierarchical and distributedmemory parallel systems, the notion of sh...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
Vienna Fortran, a machine-independent language extension to Fortran which allows the user to write p...
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 ...
SVM-Fortran is a language extension of Fortran 77 developed by KFA for shared memory parallel progra...
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...
SVM-Fortran is a language designed to program highly parallel systems with a global address space. A...
This work identifies practical compiling techniques for scalable shared memory machines. For this, w...
A significant amount of software research for developing programming environments for distributed--m...
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 ...
This article outlines the parallelization of an irregular grid application based on shared virtual m...
With the advent of Distributed Memory Machines (DMMs) numerous work have been undertaken to ease the...
To simplify the programming of hierarchical and distributedmemory parallel systems, the notion of sh...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
Vienna Fortran, a machine-independent language extension to Fortran which allows the user to write p...
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 ...
SVM-Fortran is a language extension of Fortran 77 developed by KFA for shared memory parallel progra...
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...
SVM-Fortran is a language designed to program highly parallel systems with a global address space. A...
This work identifies practical compiling techniques for scalable shared memory machines. For this, w...
A significant amount of software research for developing programming environments for distributed--m...
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 ...
This article outlines the parallelization of an irregular grid application based on shared virtual m...
With the advent of Distributed Memory Machines (DMMs) numerous work have been undertaken to ease the...
To simplify the programming of hierarchical and distributedmemory parallel systems, the notion of sh...
Programming distributed memory multiprocessors requires program parallelization as well as program o...