Add to ORKGThis paper introduces the newest version of the SR concurrent programming language and illustrates how it provides support for different execution environments, ranging from shared-memory multiprocessors to distributed systems. SR uses a few well-integrated mechanisms for concurrency to provide flexible, yet efficient, support for parallel and distributed programming. This paper gives several realistic examples to illustrate these language mechanisms. 1
This topic provides a forum for the presentation of the latest research results and practical experi...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
RTC: Language Support For Real-Time Concurrency This paper presents language constructs for the expr...
This dissertation examines fundamental issues that face the designers of any distributed programming...
The programming of parallel and distributed applications is difficult. The proliferation of net wor...
This paper presents an alternative approach to this problem. Synchronizing Interoperable Resources (...
When distributed systems first appeared, they were programmed in traditional sequential languages, u...
Typical algorithms for distributed or parallel computations are cooperative, meaning that the sequen...
The inevitable transition to parallel programming can be facilitated by appropriate tools, including...
A new proposal for synchronization and communication in parallel programs is presented. The proposa...
In this paper the main approaches to constructing concurrent programs will be presented and compared...
Much has been learned in the last decade about concurrent programming. This paper identifies the ma...
We describe parallel extensions of sequential programming languages for writing pro-grams that integ...
Efficiently using multicore architectures demands an increasing degree of fluency in parallel progra...
A concurrent system is a collection of processors that communicate by reading and writing from a sha...
This topic provides a forum for the presentation of the latest research results and practical experi...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
RTC: Language Support For Real-Time Concurrency This paper presents language constructs for the expr...
This dissertation examines fundamental issues that face the designers of any distributed programming...
The programming of parallel and distributed applications is difficult. The proliferation of net wor...
This paper presents an alternative approach to this problem. Synchronizing Interoperable Resources (...
When distributed systems first appeared, they were programmed in traditional sequential languages, u...
Typical algorithms for distributed or parallel computations are cooperative, meaning that the sequen...
The inevitable transition to parallel programming can be facilitated by appropriate tools, including...
A new proposal for synchronization and communication in parallel programs is presented. The proposa...
In this paper the main approaches to constructing concurrent programs will be presented and compared...
Much has been learned in the last decade about concurrent programming. This paper identifies the ma...
We describe parallel extensions of sequential programming languages for writing pro-grams that integ...
Efficiently using multicore architectures demands an increasing degree of fluency in parallel progra...
A concurrent system is a collection of processors that communicate by reading and writing from a sha...
This topic provides a forum for the presentation of the latest research results and practical experi...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
RTC: Language Support For Real-Time Concurrency This paper presents language constructs for the expr...