Introduction - CPE 619: Modeling and Analysis of Computer...

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CPE 619: Modeling and Analysis of Computer and Communications Systems Aleksandar Milenković The LaCASA Laboratory Electrical and Computer Engineering Department The University of Alabama in Huntsville http://www.ece.uah.edu/~milenka http://www.ece.uah.edu/~lacasa
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2 Topics Background About the Course
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3 Professor Background Dr. Aleksandar Milenković Research interests LaCASA laboratory: www.ece.uah.edu/~lacasa Computer architecture: hardware/software structures for secure, cost-effective, and performance-effective computation and communication Performance analysis and evaluation Low-power deeply embedded systems (sensor networks) Teaching interests CPE 631: Advanced Computer Systems Architecture CPE 619: Modeling and Analysis of Computer and Communication Systems CPE 527: VLSI Design CPE 323: Introduction to Embedded Computer Systems
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4 Goals of This Course Comprehensive course on performance analysis Includes measurement, statistical modeling, experimental design, simulation, and queuing theory How to avoid common mistakes in performance analysis Graduate course: (Advanced Topics) Lot of independent reading and writing Project/Survey paper (Research techniques)
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5 Syllabus Course Web page: http://www.ece.uah.edu/~milenka/ cpe619-09F Office hours: MW 1:00 PM – 2:00 PM Email: milenka at ece.uah.edu
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6 Text Books Required Raj Jain. The Art of Computer Systems Performance Analysis: Techniques f , John Wiley and Sons, Inc., New York, NY, 1991. ISBN:0471503363 Other Edward D. Lazowska, John Zahorjan, G. Scott Graham, and Kenneth C. Sevcik. Computer System Analysis Using Queueing Network Models. NOTE: Available for free on the WEB at http://www.cs.washington.edu/homes/lazowska/qsp/ David J. Lilja. Measuring Computer Performance: A Practitioner's Guide , Cambridge University Press, New York, NY, 2000.
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7 Objectives: What You Will Learn Specifying performance requirements Evaluating design alternatives Comparing two or more systems Determining the optimal value of a parameter (system tuning) Finding the performance bottleneck (bottleneck identification) Characterizing the load on the system (workload characterization) Determining the number and sizes of components (capacity planning) Predicting the performance at future loads (forecasting)
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8 Basic Terms System: Any collection of hardware, software, and firmware Metrics: Criteria used to evaluate the performance of the system components Workloads: The requests made by the users of the system
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9 Main Parts of the Course Part I: An Overview of Performance Evaluation Part II: Measurement Techniques and Tools Part III: Probability Theory and Statistics Part IV: Experimental Design and Analysis Part V: Simulation Part VI: Queuing Theory
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10 Part I: An Overview of Performance Evaluation Introduction Common Mistakes and How To Avoid Them Selection of Techniques and Metrics
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11 Part II: Measurement Techniques and Tools Types of Workloads
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Introduction - CPE 619: Modeling and Analysis of Computer...

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