Add to ORKGThe thesis describes the implementation of a Macro Data Flow run-time support for multi-core architectures. The interpreter is based on the multi-threading paradigm with shared memory communication mechanism. The interpreter is assumed to be the target back-end for the compilation of high level, structured parallel programs. Experimental results are shown on state-of-the-art Intel multi-cores. Furthermore the interpreter is compared with a standard industrial tool, such as OpenMP
This paper presents the OpenDF framework and recalls that dataflow programming was once invented to a...
Current parallelization techniques, mostly based on data dependence analysis, are primarily used to ...
With ubiquitous multi-core architectures, a major challenge is how to effectively use these machines...
Abstract—Data flow techniques have been around since the early ’70s when they were used in compilers...
Data flow techniques have been around since the early ’70s when they were used in compilers for sequ...
Data flow techniques have been around since the early ’70s when they were used in compilers for seq...
The emergence of semiconductor fabrication technology allowing a tight coupling between high-density...
Across the wide range of multiprocessor architectures, all seem to share one common problem: they ar...
Abstract—In this paper we present a Multithreaded program-ming methodology for multi-core systems th...
170 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.This dissertation describes M...
Multicore systems have become the dominant mainstream computing platform. One of the biggest challen...
Current computing systems are mostly focused on achieving performance, programmability, energy effic...
The negotiation between power consumption, performance, programmability, and portability drives all ...
Though multicore systems are ubiquitous, parallel programming models for these systems are generally...
It is now widely recognized that increased levels of parallelism are a necessary condition for impro...
This paper presents the OpenDF framework and recalls that dataflow programming was once invented to a...
Current parallelization techniques, mostly based on data dependence analysis, are primarily used to ...
With ubiquitous multi-core architectures, a major challenge is how to effectively use these machines...
Abstract—Data flow techniques have been around since the early ’70s when they were used in compilers...
Data flow techniques have been around since the early ’70s when they were used in compilers for sequ...
Data flow techniques have been around since the early ’70s when they were used in compilers for seq...
The emergence of semiconductor fabrication technology allowing a tight coupling between high-density...
Across the wide range of multiprocessor architectures, all seem to share one common problem: they ar...
Abstract—In this paper we present a Multithreaded program-ming methodology for multi-core systems th...
170 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1988.This dissertation describes M...
Multicore systems have become the dominant mainstream computing platform. One of the biggest challen...
Current computing systems are mostly focused on achieving performance, programmability, energy effic...
The negotiation between power consumption, performance, programmability, and portability drives all ...
Though multicore systems are ubiquitous, parallel programming models for these systems are generally...
It is now widely recognized that increased levels of parallelism are a necessary condition for impro...
This paper presents the OpenDF framework and recalls that dataflow programming was once invented to a...
Current parallelization techniques, mostly based on data dependence analysis, are primarily used to ...
With ubiquitous multi-core architectures, a major challenge is how to effectively use these machines...