Add to ORKGDistributed systems are an alternative to shared-memorymultiprocessors for the execution of parallel applications.PANDA is a runtime system which provides architecturalsupport for efficient parallel and distributed program-ming. PANDA supplies means for fast user-level threads,and for a transparent and coordinated sharing of objectsacross a homogeneous network. The paper motivates themajor architectural choices that guided our design. Theproblem of sharing data in a distributed environment isdiscussed, and the performance of appropriate mecha-nisms provided by the PANDA prototype implementation isassessed
Abstract: The computational and compositional features are very important while constructing paralle...
grantor: University of TorontoWe introduce the novel 'scoped behaviour' patterns within th...
Orca is a language for implementing parallel applications on loosely coupled distri-buted systems. U...
PANDA is a run-time package based on a very small operating system kernel which supports distributed...
The goal of PANDA is to provide an environment for parallel and distributed programming in C++. The ...
The shared data-object model is designed to ease the implementation of parallel applications on loos...
Distributed computing is a form of parallel computing, but parallel computing is most commonly used ...
The shared data-object model is designed to ease the implementation of parallel applications on loos...
In parallel programming, the need to manage communication, load imbalance, and irregular-ities in th...
Combining easy-to-use parallelism, portability and efficiency is a very hard task when traditional p...
This article focuses on principles for the design of efficient parallel algorithms for distributed m...
Multidimensional arrays are a fundamental data type in scientific computing and are used extensively...
Any parallel program has abstractions that are shared by the program's multiple processes, includin...
Writing parallel programs for distributed multi-user computing environments is a difficult task. The...
A parallel program archetype aids in the development of reliable, efficient parallel applications wi...
Abstract: The computational and compositional features are very important while constructing paralle...
grantor: University of TorontoWe introduce the novel 'scoped behaviour' patterns within th...
Orca is a language for implementing parallel applications on loosely coupled distri-buted systems. U...
PANDA is a run-time package based on a very small operating system kernel which supports distributed...
The goal of PANDA is to provide an environment for parallel and distributed programming in C++. The ...
The shared data-object model is designed to ease the implementation of parallel applications on loos...
Distributed computing is a form of parallel computing, but parallel computing is most commonly used ...
The shared data-object model is designed to ease the implementation of parallel applications on loos...
In parallel programming, the need to manage communication, load imbalance, and irregular-ities in th...
Combining easy-to-use parallelism, portability and efficiency is a very hard task when traditional p...
This article focuses on principles for the design of efficient parallel algorithms for distributed m...
Multidimensional arrays are a fundamental data type in scientific computing and are used extensively...
Any parallel program has abstractions that are shared by the program's multiple processes, includin...
Writing parallel programs for distributed multi-user computing environments is a difficult task. The...
A parallel program archetype aids in the development of reliable, efficient parallel applications wi...
Abstract: The computational and compositional features are very important while constructing paralle...
grantor: University of TorontoWe introduce the novel 'scoped behaviour' patterns within th...
Orca is a language for implementing parallel applications on loosely coupled distri-buted systems. U...