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Workshop on Distributed Embedded Systems, Lorentz Center, 21–24 Nov.05. Practical sessions on 23 and 24 November 2005. Objectives. Get an overview of the existing performance analysis (PA) methods; Classify methods based on criteria such as scope, accuracy, modeling effort, etc.;
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Workshop on Distributed Embedded Systems, Lorentz Center, 21–24 Nov.05 Practical sessions on 23 and 24 November 2005
Objectives • Get an overview of the existing performance analysis (PA) methods; • Classify methods based on criteria such as scope, accuracy, modeling effort, etc.; • Understand limitations of the methods and define future research directions; • Form a pool of performance analysis problems for testing of different PA methods.
Agenda: Wednesday 23. Nov. • Session 1: Presentation of Methods I • Break • Session 2: Presentation of Methods II • Lunch • Session 3: Identification of Test Problems for Performance Analysis • Break • Session 4: Work in Groups I
Agenda: Thursday 24. Nov. • Session 1: Presentation of Groupwork I • Morning: Work in Groups II • Lunch • Session 3: Presentation of Groupwork II • Break • Session 4: Discussion and Comparison of PA Methods; Further Steps
Agenda: Wednesday 23. Nov. • Session 1: Presentation of Methods I • Break • Session 2: Presentation of Methods II • Lunch • Session 3: Identification of Test Problems for Performance Analysis • Break • Session 4: Work in Groups I
PA method presentation • A 10-min talk with 5-min questions. • Suggested contents: • A brief introduction giving an overview of the method; • A case study demonstrating modeling power and scalability of the method; • A summaryof limitations and strengths of the method; the class of systems that the method can analyze.
Agenda: Wednesday 23. Nov. • Session 1: Presentation of Methods I • Break • Session 2: Presentation of Methods II • Lunch • Session 3: Identification of Test Problems for Performance Analysis • Break • Session 4: Work in Groups I
Test problems • Build a pool of test problems. • Problem types: • Small problems • Expose one analysis problem or modeling difficulty. • Challenging (even for your own method), or Simple to serve for comparison of different PA methods • Really small, e.g. involving only few tasks/nodes. • Large problems • Reveal scalability. • Realistic application scenarios.
ToDo List: • If you want to present a method: • Write an email to maxiagui@tik.ee.ethz.ch • Prepare a Presentation. • If you want to propose problems: • Send them to us. (PDF/PPT)(before Wednesday 10AM)
Webpage: • The collected material will be available here: www.tik.ee.ethz.ch/~leiden05