AbstractThe dataflow programming paradigm shows an important way to improve programming productivity for streaming systems. In this paper we propose COStream, a programming language based on synchronous data flow execution model for data-driven application. We also propose a compiler framework for COStream on general-purpose multi-core architectures. It features an inter-thread software pipelining scheduler to exploit the parallelism among the cores. We implemented the COStream compiler framework on x86 multi-core architecture and performed experiments to evaluate the system
Dataflow programming is a paradigm for describing stream processing algorithms in a manner that natu...
The primary objective of the proposed research is to define and evaluate an architecture for a compu...
Dataflow is presented as an alternative to the von Neumann model as the basis for computer system de...
The dataflow programming paradigm shows an important way to improve programming pro-ductivity for st...
This dissertation presents the dataflow execution model and reviews recent dataflow-based projects. ...
AbstractWe present a first evaluation of a Programming Model for real-time streaming applications on...
In application areas that process stream-like data such as multimedia, networking and DSP, the pipel...
Abstract—The path towards future high performance comput-ers requires architectures able to efficien...
International audienceTuning applications for multicore systems involve subtle concurrency concepts ...
The path towards future high performance computers requires architectures able to efficiently run mu...
Data flow techniques have been around since the early ’70s when they were used in compilers for sequ...
Real-time streaming of HD movies and TV via YouTube, Netflix, Apple TV and Xbox Live is gaining popu...
In the streaming domain, applications are often described as dataflow graphs. Each node in the graph...
The term "dataflow" generally encompasses three distinct aspects of computation - a data-driven mode...
This paper presents dataflow machines, a model for stream programs aimed at capturing their logical ...
Dataflow programming is a paradigm for describing stream processing algorithms in a manner that natu...
The primary objective of the proposed research is to define and evaluate an architecture for a compu...
Dataflow is presented as an alternative to the von Neumann model as the basis for computer system de...
The dataflow programming paradigm shows an important way to improve programming pro-ductivity for st...
This dissertation presents the dataflow execution model and reviews recent dataflow-based projects. ...
AbstractWe present a first evaluation of a Programming Model for real-time streaming applications on...
In application areas that process stream-like data such as multimedia, networking and DSP, the pipel...
Abstract—The path towards future high performance comput-ers requires architectures able to efficien...
International audienceTuning applications for multicore systems involve subtle concurrency concepts ...
The path towards future high performance computers requires architectures able to efficiently run mu...
Data flow techniques have been around since the early ’70s when they were used in compilers for sequ...
Real-time streaming of HD movies and TV via YouTube, Netflix, Apple TV and Xbox Live is gaining popu...
In the streaming domain, applications are often described as dataflow graphs. Each node in the graph...
The term "dataflow" generally encompasses three distinct aspects of computation - a data-driven mode...
This paper presents dataflow machines, a model for stream programs aimed at capturing their logical ...
Dataflow programming is a paradigm for describing stream processing algorithms in a manner that natu...
The primary objective of the proposed research is to define and evaluate an architecture for a compu...
Dataflow is presented as an alternative to the von Neumann model as the basis for computer system de...