International audienceThis paper introduces an extension to \openmp{3.0} enabling stream programming with minimal, incremental additions that seamlessly integrate into the current specification. The stream programming model decomposes programs into tasks and explicits the flow of data among them, thus exposing data, task and pipeline parallelism. It helps the programmers to express concurrency and data locality properties, avoiding non-portable low-level code and early optimizations. We survey the diverse motivations and constraints converging towards the design of our simple yet powerful language extension, and we present experimental results of a prototype implementation in a public branch of GCC 4.5
Stream programs represent an important class of high-performance computations. Defined by their reg...
Among the various paradigms of parallelization, pipeline parallelism has the advantage of maintainin...
Streaming applications like multimedia and radar signal processing applications are becoming increas...
International audienceThis paper introduces an extension to \openmp{3.0} enabling stream programming...
ISBN: 978-145030241-8International audienceThis paper introduces an extension to OpenMP3.0 enabling ...
This paper introduces an extension to OpenMP3.0 enabling stream programming with minimal, incrementa...
As single processing unit performance has reached a technological limit, the power wall, the past de...
We present OpenStream, a data-flow extension of OpenMP to express dynamic dependent tasks. The lan-g...
Selected for presentation at the HiPEAC 2013 Conf.International audienceWe present OpenStream, a dat...
Conference of International Conference on Computational Science ICCS 2017 ; Conference Date: 12 June...
Stream processing has a long history as a way of describing and implementing specific kinds of compu...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
In this paper we present the initial development of a streaming environment based on a programming m...
Stream programs represent an important class of high-performance computations. Defined by their reg...
Among the various paradigms of parallelization, pipeline parallelism has the advantage of maintainin...
Streaming applications like multimedia and radar signal processing applications are becoming increas...
International audienceThis paper introduces an extension to \openmp{3.0} enabling stream programming...
ISBN: 978-145030241-8International audienceThis paper introduces an extension to OpenMP3.0 enabling ...
This paper introduces an extension to OpenMP3.0 enabling stream programming with minimal, incrementa...
As single processing unit performance has reached a technological limit, the power wall, the past de...
We present OpenStream, a data-flow extension of OpenMP to express dynamic dependent tasks. The lan-g...
Selected for presentation at the HiPEAC 2013 Conf.International audienceWe present OpenStream, a dat...
Conference of International Conference on Computational Science ICCS 2017 ; Conference Date: 12 June...
Stream processing has a long history as a way of describing and implementing specific kinds of compu...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
In this paper we present the initial development of a streaming environment based on a programming m...
Stream programs represent an important class of high-performance computations. Defined by their reg...
Among the various paradigms of parallelization, pipeline parallelism has the advantage of maintainin...
Streaming applications like multimedia and radar signal processing applications are becoming increas...