Paper Info
Title
A Wcet-Aware Parallel Programming Model For Predictability Enhanced Multi-Core Architectures
Abstract
Increasing performance requirements for cyber-physical systems in real-time applications raise the necessity to migrate to multi-core processor systems. However, commercial of the shelf multi-core systems are often inappropriate for the realtime domain and real-time capable multi-core programming models are rare. In this paper, we present a solution developed within the EU research project ARGO. By means of a predictability enhanced NoC-based multi-/many-core architecture, we investigate hardware properties that can help to improve the predictability of the platform and the programming model. Both platform and programming model are complemented by a WCET-aware Architecture Description Language (ADL). This enables a certain degree of hardware abstraction while preserving the relevant details for accurate multi-core WCET analysis algorithms. Target platform and programming model are designed to be statically analyzable by multi-core WCET computation tools, that are part of the automated WCET-aware software parallelization tool flow developed in the ARGO project.
Year
Venue
Field
2018
PROCEEDINGS OF THE 2018 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE)
Predictability,Programming paradigm,Computer science,Parallel computing,Hardware abstraction,Parallel programming model,Software,Multi-core processor,Embedded system,Architecture description language,Computation
DocType
ISSN
Citations 
Conference
1530-1591
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Simon Reder1163.11
Leonard Masing293.91
Harald Bucher3164.11
Timon D. ter Braak400.34
Timo Stripf5517.26
Jiirgen Becker6173.59