Predicting the resources that are consumed by a program component is crucial for many parallel or distributed systems. In this context, the main resources of interest are execution time, space and communication/synchronisation costs. There has recently been significant progress in resource analysis technology, notably in type-based analyses and abstract interpretation. At the same time, parallel and distributed computing are becoming increasingly important. This paper synthesises progress in both areas to survey the state-of-the-art in resource analysis for parallel and distributed computing. We articulate a general model of resource analysis and describe parallel/distributed resource analysis together with the relationship to sequential an...
This is an overview of the material to be discussed in the invited keynote presentation by H. J. Sie...
Millions of computers are now connected together by the Internet. At a fast pace, applications are t...
We propose a massively parallel framework termed a parallel-pipeline model of execution that can be ...
<p>Predicting the resources that are consumed by a program component is crucial for many paral...
Predicting the resources that are consumed by a program component is crucial for many parallel or di...
<p>An important application of resource analysis is to improve the performance of parallel and...
Resource analysis aims at automatically inferring upper/lower bounds on the worst/best-case cost of ...
In an open distributed system, computational resources are peer-owned, and distributed over time and...
Recourses in a distributed system can be accessed or remotely accessed across multiple nodes in the ...
Durant leur exécution, les systèmes concurrents manipulent diverses ressources dynamiques en nombre ...
Problems of finding minimum total execution times of distributed competing processes are solved for ...
Determining the resources needed to run a specific program is an important task for static task sche...
A paradigm is presented for the parallelization of coarse-grain engineering and scientific applicati...
Abstract—The notion of resource plays a central role in concurrent systems. In its purest form a res...
Abstract: We discuss analytic procedures for evaluating the availability of parallel computer system...
This is an overview of the material to be discussed in the invited keynote presentation by H. J. Sie...
Millions of computers are now connected together by the Internet. At a fast pace, applications are t...
We propose a massively parallel framework termed a parallel-pipeline model of execution that can be ...
<p>Predicting the resources that are consumed by a program component is crucial for many paral...
Predicting the resources that are consumed by a program component is crucial for many parallel or di...
<p>An important application of resource analysis is to improve the performance of parallel and...
Resource analysis aims at automatically inferring upper/lower bounds on the worst/best-case cost of ...
In an open distributed system, computational resources are peer-owned, and distributed over time and...
Recourses in a distributed system can be accessed or remotely accessed across multiple nodes in the ...
Durant leur exécution, les systèmes concurrents manipulent diverses ressources dynamiques en nombre ...
Problems of finding minimum total execution times of distributed competing processes are solved for ...
Determining the resources needed to run a specific program is an important task for static task sche...
A paradigm is presented for the parallelization of coarse-grain engineering and scientific applicati...
Abstract—The notion of resource plays a central role in concurrent systems. In its purest form a res...
Abstract: We discuss analytic procedures for evaluating the availability of parallel computer system...
This is an overview of the material to be discussed in the invited keynote presentation by H. J. Sie...
Millions of computers are now connected together by the Internet. At a fast pace, applications are t...
We propose a massively parallel framework termed a parallel-pipeline model of execution that can be ...