IBM AWM Course Content :

    1. Introduction to Application Workload Modeler (AWM)

    • Motivation
    • Addressed Types of Systems
    • Contribution of the Presented Work

    2. Motivation

    • Open Problems in Performance Evaluation.
    • Demands on a workload modeling framework and methodology for Parallel Processing Systems.

    3. Addressed Types of Systems

    • User System Interaction
    • System under Test and Component under Study
    • Parallel architectures.
    • Parallel Programs

    4. Contribution of the Presented Work

    • Summary of the Framework and the Methodology.
    • Outline of the Thesis

    5. Workload Modeling –Framework and Methodology

    • Definition of Workload
    • Workload Model Construction in a Performance Evaluation Cycle
    • Constructing a Non- Executable Test Workload Model

    6. Definition of Workload

    • Workload Components
    • Specifying the Test Workload
    • Parallel Workload Characteristics

    7. Workload Model Construction in a Performance Evaluation Cycle

    • Influence of the Objective of the Evaluation Study
    • Influence of the Evaluation Techniques

    8. Constructing a Non- Executable Test Workload Model

    • Model Parameterization
    • Validation Criteria for Workload Models

    9. Survey and Comparison of Parallel Workload Models

    • Parameter Based Models
    • Profiles, Signatures and Shapes
    • Ratio’s for Varying System Size
    • Graph Models

    10. Parameter Based Models

    11. Profiles, Signatures and Shapes

    12. Ratio’s for Varying System Size

    13. Graph Models

    • Undirected Graph Models
    • Directed Graph Models

    14. Scalability Analysis

    • Scalability Concepts
    • Visual Approach for Scalability Analysis
    • Examples

    15. Scalability Concepts

    • Problem Definitions
    • Scalability Index
    • Characterizing the Architecture Size A
    • Characterizing the Amount of Work W
    • Sources of Overhead
    • Evaluation Techniques for Scalability Analysis

    16. Visual Approach for Scalability Analysis

    • Performance Characteristics
    • Model Parameters and Definitions
    • Comparison to other Approaches

    17. Examples

    • An Embarrassingly Parallel Problem
    • Householder Reduction
    • Finite Element Method

    18. Summary and Future Work

    • Abbreviations and Symbols
    • Definitions and Derivation

    19. Abbreviations and Symbols

    20. Definitions and Derivation

    • Petri Nets
    • Series Parallel Graphs
    • Stochastic Process
    • Queuing Networks
    • Complexity Notation
    • Bounds on and Relations between Ratios’s
    • Bounds

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