Add to ORKGWe presenL an architecture for high level systems for solving partial differential equations. The solution process is examined in some detail and components offuture systems systematically identified. We discuss the principal non-numerical technical challenges: software integration and reuse, resource management, and expert system development. We also discuss some of the numerical/mathematical challenges found in creating future systems. Examples of editor components from Parallel ELLPACK are described.
This paper examines the potential of parallel computation methods for pamal differential equations (...
The efficient solution of large-scale systems resulting from the discretization of partial different...
The use of a network of workstations as a single unit for speeding up computationally intensive appl...
Many scientific processes can be modeled by a solution of partial differential equations. The increa...
AbstractA problem solving environment (pse) can be defined as a human interface to hardware and soft...
Problem solving environments represent the next generation of scientific computing software. This th...
This paper examines the potential of parallel computation methods for partial differential equations...
The implementation of existing software for the numerical treatment of partial differential equation...
Most PDE solving systems have a closed structure. That is, they use a certain set of problems, metho...
This paper describes the functionality and architecture of a Grid-enabled partial differential equat...
PDE.Mart is a network-based problem-solving environment (PSE) for solving partial differential equat...
In the last decade, two distinct directions have emerged in the way Ordinary Differential Equation (...
This paper describes the possible evolution of the ELLPACK system from a research tool for software ...
In tllis paper we present a paradigm for simulaling complex phenomena which may involve multiple phy...
This paper presents the architecture of a fault-tolerant, special-purpose multi-microprocessor syste...
This paper examines the potential of parallel computation methods for pamal differential equations (...
The efficient solution of large-scale systems resulting from the discretization of partial different...
The use of a network of workstations as a single unit for speeding up computationally intensive appl...
Many scientific processes can be modeled by a solution of partial differential equations. The increa...
AbstractA problem solving environment (pse) can be defined as a human interface to hardware and soft...
Problem solving environments represent the next generation of scientific computing software. This th...
This paper examines the potential of parallel computation methods for partial differential equations...
The implementation of existing software for the numerical treatment of partial differential equation...
Most PDE solving systems have a closed structure. That is, they use a certain set of problems, metho...
This paper describes the functionality and architecture of a Grid-enabled partial differential equat...
PDE.Mart is a network-based problem-solving environment (PSE) for solving partial differential equat...
In the last decade, two distinct directions have emerged in the way Ordinary Differential Equation (...
This paper describes the possible evolution of the ELLPACK system from a research tool for software ...
In tllis paper we present a paradigm for simulaling complex phenomena which may involve multiple phy...
This paper presents the architecture of a fault-tolerant, special-purpose multi-microprocessor syste...
This paper examines the potential of parallel computation methods for pamal differential equations (...
The efficient solution of large-scale systems resulting from the discretization of partial different...
The use of a network of workstations as a single unit for speeding up computationally intensive appl...