The inevitable transition to parallel programming can be facilitated by appropriate tools, including languages and libraries. After describing the needs of applications developers, this paper presents three specific approaches aimed at development of efficient and reusable parallel software for irregular and dynamic-structured problems. A salient feature of all three approaches in their exploitation of concurrency within a processor. Benefits of individual approaches such as these can be leveraged by an interoperability environment which permits modules written using different approaches to co-exist in single applications
Current parallel programming languages support only a narrow range of programming styles; force prog...
Efficiently using multicore architectures demands an increasing degree of fluency in parallel progra...
This paper describes basic programming technology to support irregular applications on scalable conc...
In this thesis, we investigate some of the options programmers have when writing a concurrent progra...
Abstract. Parallel programming continues to be difficult, despite substantial and ongoing research a...
In this paper the main approaches to constructing concurrent programs will be presented and compared...
It is today's general wisdom that the productive use of parallel architectures depends cruciall...
Efficiency of software application is one of the important metrics that are used to measure the qual...
. In many concurrent programming languages, concurrent programs are difficult to extend and modify: ...
This paper describes a framework for providing the ability to use multiple specialized data parallel...
This paper introduces the newest version of the SR concurrent programming language and illustrates h...
Most conventional approaches to parallel programming are based on some basic kinds of synchronized m...
Programming environments are used to bridge the gap between actual computers ad developement of thei...
The behavioral correctness of parallel programs has a pivotal role in computational sciences and eng...
Due to power constraints, future growth in computing capability must explicitly leverage parallelism...
Current parallel programming languages support only a narrow range of programming styles; force prog...
Efficiently using multicore architectures demands an increasing degree of fluency in parallel progra...
This paper describes basic programming technology to support irregular applications on scalable conc...
In this thesis, we investigate some of the options programmers have when writing a concurrent progra...
Abstract. Parallel programming continues to be difficult, despite substantial and ongoing research a...
In this paper the main approaches to constructing concurrent programs will be presented and compared...
It is today's general wisdom that the productive use of parallel architectures depends cruciall...
Efficiency of software application is one of the important metrics that are used to measure the qual...
. In many concurrent programming languages, concurrent programs are difficult to extend and modify: ...
This paper describes a framework for providing the ability to use multiple specialized data parallel...
This paper introduces the newest version of the SR concurrent programming language and illustrates h...
Most conventional approaches to parallel programming are based on some basic kinds of synchronized m...
Programming environments are used to bridge the gap between actual computers ad developement of thei...
The behavioral correctness of parallel programs has a pivotal role in computational sciences and eng...
Due to power constraints, future growth in computing capability must explicitly leverage parallelism...
Current parallel programming languages support only a narrow range of programming styles; force prog...
Efficiently using multicore architectures demands an increasing degree of fluency in parallel progra...
This paper describes basic programming technology to support irregular applications on scalable conc...