This article outlines the parallelization of an irregular grid application based on shared virtual memory and describes the optimizations performed to tune the parallel code. The parallelization was facilitated by the task parallel programming language SVM-Fortran and its performance analysis environment
Shared virtual memory (SVM) is a virtual memory layer with a single address space on top of a distri...
The growing presence of massively-parallel systems using physically distributed memory has promoted ...
Simulations are an essential tool for solving scientific and technical problems. They are based on s...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
SVM-Fortran is a language extension of Fortran 77 developed by KFA for shared memory parallel progra...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
Highly parallel machines needed to solve compute-intensive scientific applications are based on the ...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
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 parallel computers with message passing is often considered to be a d...
This article outlines the parallelization of an irregular grid application with SVM-Fortran. It desc...
Vienna Fortran, a machine-independent language extension to Fortran which allows the user to write p...
Shared virtual memory (SVM) is a virtual memory layer with a single address space on top of a distri...
To optimize programs for parallel computers with distributed shared memory two main problems need to...
Shared virtual memory (SVM) is a virtual memory layer with a single address space on top of a distri...
The growing presence of massively-parallel systems using physically distributed memory has promoted ...
Simulations are an essential tool for solving scientific and technical problems. They are based on s...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
SVM-Fortran is a language extension of Fortran 77 developed by KFA for shared memory parallel progra...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
Highly parallel machines needed to solve compute-intensive scientific applications are based on the ...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
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 parallel computers with message passing is often considered to be a d...
This article outlines the parallelization of an irregular grid application with SVM-Fortran. It desc...
Vienna Fortran, a machine-independent language extension to Fortran which allows the user to write p...
Shared virtual memory (SVM) is a virtual memory layer with a single address space on top of a distri...
To optimize programs for parallel computers with distributed shared memory two main problems need to...
Shared virtual memory (SVM) is a virtual memory layer with a single address space on top of a distri...
The growing presence of massively-parallel systems using physically distributed memory has promoted ...
Simulations are an essential tool for solving scientific and technical problems. They are based on s...
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