1. Design for Predictability and Efficiency (PREDATOR)
Reinhard Wilhelm
Saarland University
Saarbrücken, Germany

2. Outline Objectives of PREDATOR Overall Structure of PREDATOR
The Work Packages
Starting Points of our Work
Interactions between WPs
Milestones and deliverables
Expected activities of PREDATOR
Project management

3. Motivation Design of Real-Time Systems:
Gap average-case  worst-case behavior increases
Static analyses: derive guarantees about worst-case behavior
Tightness of guarantees: Product of Uncertainty x Penalties
Predictability vs. Efficiency: Past systems were…
either predictable, but inefficient (no caches, pipelines, over-provisioning of resources, …),
or efficient, but unpredictable (caches, deep pipelines, branch prediction, speculation, …)
PREDATOR: Reconcile Predictability and Efficiency

4. Objectives of PREDATOR
Overall Goals of PREDATOR:
Reduce Uncertainty by increasing system analyzability
Reduce Penalties by influencing system design
Objectives:
Improve design & development methods for real-time systems
Develop tools supporting such development methods
Develop architectural concepts supporting timing analysis
Approach:
Synergetic development of tools with design
Predictability vs. efficiency: Multi-objective optimization problem
Resource-aware abstraction during system design

5. PREDATOR Partners Saarland University (Coord.): R. Wilhelm
ETH Zürich: L. Thiele
TU Dortmund: P. Marwedel
Alma Mater Stud.-Università di Bologna: L. Benini
Scuola Superiore Sant’ Anna, Pisa: G. Buttazzo
AbsInt GmbH, Saarbrücken: C. Ferdinand
EADS Airbus, Toulouse: B. Triquet
Robert Bosch GmbH, Stuttgart: O. Rogalla

6. Workpackages WP5 – Cross-Layer Design & Analysis
WP4 – Distribution and MPSoC
WP0 – Use Cases
WP3 – Coordination between Tasks
WP6 – Dissemination
WP7 – Management
WP2 – Single-Task Layer
WP1 – Hardware Architecture