Design for Predictability and Efficiency PREDATOR

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
WP3 Coordination between Tasks
WP0 Use Cases
WP6 Dissemination
WP7 Management
WP2 Single-Task Layer
WP1 Hardware Architecture