Battery-aware static scheduling for distributed real-time embedded systems
Proceedings of the 38th annual Design Automation Conference
Simgrid: A Toolkit for the Simulation of Application Scheduling
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
VEST: An Aspect-Based Composition Tool for Real-Time Systems
RTAS '03 Proceedings of the The 9th IEEE Real-Time and Embedded Technology and Applications Symposium
ICECCS '96 Proceedings of the 2nd IEEE International Conference on Engineering of Complex Computer Systems
PERTS: A prototyping environment for real-time systems
PERTS: A prototyping environment for real-time systems
A Graph-Based Approach to Power-Constrained SOC Test Scheduling
Journal of Electronic Testing: Theory and Applications
SoC Test Scheduling with Power-Time Tradeoff and Hot Spot Avoidance
Proceedings of the conference on Design, automation and test in Europe - Volume 1
Distributed channel routing using genetic algorithm
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
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The evolution of technologies is enabling the integration of complex platforms in a single chip, called a System-on-Chip (SoC). Modern SoCs may include several CPU subsystems to execute software and sophisticated interconnect in addition to specific hardware subsystems. Designing such mixed hardware and software systems requires new methodologies and tools or to enhance old tools. These design tools must be able to satisfy many relative trade-offs (real-time, performance, low power consumption, time to market, re-usability, cost, area, etc). It is recognized that the decisions taken for scheduling and mapping at a high level of abstraction have a major impact on the global design flow. They can help in satisfying different trade-offs before proceeding to lower level refinements. To provide good potential to scheduling and mapping decisions we propose in this paper a static scheduling framework for MpSoC design. We will show why it is necessary to and how to integrate different scheduling techniques in such a framework in order to compare and to combine them. This framework is integrated in a model driven approach in order to keep it open and extensible.