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414
ObjectOriented Modeling of Parallel PDE Solvers
"... This is a status report of a longterm research effort focusing on objectoriented modeling of parallel PDE solvers, based on finite difference methods on composite, structured grids. Two previous results of this effort are reviewed, the class libraries Cogito and Compose. Cogito is implemented in Fo ..."
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This is a status report of a longterm research effort focusing on objectoriented modeling of parallel PDE solvers, based on finite difference methods on composite, structured grids. Two previous results of this effort are reviewed, the class libraries Cogito and Compose. Cogito is implemented
Analyzing Advanced PDE Solvers Through Simulation
"... Abstract. By simulating a real computer it is possible to gain a detailed knowledge of the cache memory utilization of an application, e.g., a partial differential equation (PDE) solver. Using this knowledge, we can discover regions with intricate cache memory performance. Furthermore, this informat ..."
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Abstract. By simulating a real computer it is possible to gain a detailed knowledge of the cache memory utilization of an application, e.g., a partial differential equation (PDE) solver. Using this knowledge, we can discover regions with intricate cache memory performance. Furthermore
MODELING WITH COLLABORATING PDE SOLVERSTHEORY AND PRACTICE
, 1994
"... Abstract. We consider the problem of modeling very complex physical systems by a network of collaborating PDE solvers. Various aspects of this problem are examined from the points of view of real applications, modern computer science technologies, and their impact on numerical methods. The related m ..."
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Abstract. We consider the problem of modeling very complex physical systems by a network of collaborating PDE solvers. Various aspects of this problem are examined from the points of view of real applications, modern computer science technologies, and their impact on numerical methods. The related
A General OOPDE Solver for TCAD Applications
 OONSKI
, 1994
"... Technology CAD (TCAD) is a broad area of simulation which is concerned with modeling both the structural and the electrical properties of semiconductor devices. Although TCAD utilizes computational geometry (deposition, etching), montecarlo methods (ion implantation, “firstprinciples ” device simu ..."
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Cited by 3 (2 self)
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simulation) and other computational approaches, only meshbased PDE solvers are considered here. The models
The Design of Software Agents for a Network of PDE Solvers
 In Workshop on Agent Technologies for High Performance Computing, Agents 99
, 1999
"... The simulation of complex physical systems often involves solving a large system of partial differential equations (PDEs). We discuss how solving such a system of PDEs can be done by splitting a domain into several subdomains and creating of a network of PDE solvers. In such a network several ag ..."
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Cited by 5 (3 self)
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The simulation of complex physical systems often involves solving a large system of partial differential equations (PDEs). We discuss how solving such a system of PDEs can be done by splitting a domain into several subdomains and creating of a network of PDE solvers. In such a network several
Code tiling for improving the cache performance of pde solvers
 In Proceedings of the International Conference on Parallel Processing. ACM
, 2003
"... For SORlike PDE solvers, loop tiling either helps little in improving data locality or hurts their performance. This paper presents a novel compiler technique called code tiling for generating fast tiled codes for these solvers on uniprocessors with a memory hierarchy. Code tiling combines loop til ..."
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Cited by 7 (5 self)
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For SORlike PDE solvers, loop tiling either helps little in improving data locality or hurts their performance. This paper presents a novel compiler technique called code tiling for generating fast tiled codes for these solvers on uniprocessors with a memory hierarchy. Code tiling combines loop
Cache memory behavior of advanced PDE solvers
 Parallel Computing: Software Technology, Algorithms, Architechtures and Applications
, 2003
"... Three different partial differential equation (PDE) solver kernels are analyzed in respect to cache memory performance on a simulated shared memory computer. The kernels implement stateoftheart solution algorithms for complex application problems, and the simulations are performed for data sets o ..."
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Cited by 2 (1 self)
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Three different partial differential equation (PDE) solver kernels are analyzed in respect to cache memory performance on a simulated shared memory computer. The kernels implement stateoftheart solution algorithms for complex application problems, and the simulations are performed for data sets
Dynamic Load Balancing for PDE Solvers on Adaptive Unstructured Meshes
, 1992
"... Modern PDE solvers written for timedependent problems increasingly employ adaptive unstructured meshes (see Flaherty et al. [4]) in order to both increase efficiency and control the numerical error. If a distributed memory parallel computer is to be used, there arises the significant problem of div ..."
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Cited by 65 (15 self)
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Modern PDE solvers written for timedependent problems increasingly employ adaptive unstructured meshes (see Flaherty et al. [4]) in order to both increase efficiency and control the numerical error. If a distributed memory parallel computer is to be used, there arises the significant problem
Parallel Multigrid in an Adaptive PDE Solver Based on Hashing and SpaceFilling Curves
, 1997
"... this paper is organized as follows: In section 2 we discuss data structures for adaptive PDE solvers. Here, we suggest to use hash tables instead of the usually employed tree type data structures. Then, in section 3 we discuss the main features of the sequential adaptive multilevel solver. Section 4 ..."
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Cited by 51 (3 self)
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this paper is organized as follows: In section 2 we discuss data structures for adaptive PDE solvers. Here, we suggest to use hash tables instead of the usually employed tree type data structures. Then, in section 3 we discuss the main features of the sequential adaptive multilevel solver. Section
Results 11  20
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414