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Design for Predictability and EfficiencyDesign for Predictability and Efficiency(PREDATOR)(PREDATOR)

Reinhard Wilhelm

Saarland University

Saarbrücken, Germany

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OutlineOutline

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

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MotivationMotivation

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

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Objectives of PREDATORObjectives 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

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PREDATOR PartnersPREDATOR 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

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WorkpackagesWorkpackages

WP1 – Hardware Architecture

WP2 – Single-Task Layer

WP3 – Coordination between Tasks

WP4 – Distribution and MPSoC

WP5 – Cross-Layer Design & Analysis

WP

0 –

Use

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WP

6 –

Dis

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WP

7 –

Man

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