Behavioral Intervals in Embedded Software - Fabian Wolf

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Résumé :
Behavioral Intervals in Embedded Software introduces a comprehensive approach to timing, power, and communication analysis of embedded software processes. Embedded software timing, power and communication are typically not unique but occur in intervals which result from data dependent behavior, environment timing and target system properties.

Sommaire:
1. Introduction.- 2. Software Running Time Analysis.- 3. A Formal Approach to SYMTA.- 4. Formal Cache Analysis in SYMTA.- 5. Program Segment Cost Analysis.- 6. Experiments and Results.- 7. Summary and Conclusion.- Appendices.- System Implementation.- A.1 Overview.- A.2 Tool Flow.- A.3 SYMTA Designer Interface.- A.4 Path Analysis Software.- A.4.1 Symbolic Execution.- A.4.2 Process Mode Annotation.- A.4.3 Path Identification.- A.4.4 ILP Solution.- A.5 Cache Analysis Software.- A.5.1 Local Simulation.- A.5.2 Set Definition Propagation.- A.5.3 Future Work.- A.6 Architecture Modeling.- A.6.1 PSS: StrongARM Simulator.- A.6.2 Hardware Interfaces.- A.6.3 Communication Components.- A.6.4 Bus Controller.- A.6.5 Cache Simulation.- A.6.6 ICA: Data Book Implementation.- A.7 Software Power Analysis.- A.7.1 Power Measurement.- A.7.2 Instruction-Wise Power Analysis.- A.7.3 Example: SPARCIite Power Measurement.- A.7.4 Further Implementation Details.- A.7.5 ICA for SPARCIite Power Consumption.- A.8 Design Flow Integration in MEDIA.- A.8.1 System Property Intervals.- Generation of Experimental Results.- B.1 Path Analysis.- B.1.1 Symbolic Simulation.- B.1.2 ILP Solving.- B.2 Architecture Modeling.- B.2.1 StrongARM Simulation.- B.2.2 StrongARM Simulation Case Studies.- B.2.3 Measurement.- B.2.4 Measurement Case Study: Image Processing.- B.3 Intermediate Formats: Bubble Sort.- B.3.1 Source Code.- B.3.2 Symbolic Expressions.- B.3.3 Control Flow Graph.- B.3.4 ILP solver input.- B.4 Analysis Improvements in Previous Work.- B.5 Graphical Behavioral Interval Representation.- Abbreviations.- Biography.- Publications.