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Enhancing Embedded Applications through Computer-Aided Hand Tuning and Code Analysis Techniques

In this study, we present our approach to optimizing embedded applications using Computer-Aided Hand Tuning (CAHT). Our methodology integrates case-based reasoning, static code analysis, and pattern matching to analyze numerical codes written in Fortran and embedded applications in C. By leveraging profiling data and advanced learning techniques, we aim to improve application performance significantly. We developed a prototype using Foresys as an interactive front-end, along with TSF for program transformation and Sage++ as the infrastructure for source-level transformations.

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Enhancing Embedded Applications through Computer-Aided Hand Tuning and Code Analysis Techniques

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Presentation Transcript

  1. Computer aided hand tuning • Target application • numerical code written in Fortran • embedded application written in C • Our approach • case based reasoning • static code analysis and pattern matching • profiling • learning techniques

  2. CAHT • Prototype built on • Foresys: Fortran interactive front-end (from Simulog) • TSF: Scripting language for program transformation • Sage++:Infrastusture for source level transformation

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