Worst-Case Execution Time Aware Compilation Techniques for Real-Time Systems [electronic resource] / by Paul Lokuciejewski, Peter Marwedel.
Tipo de material: TextoSeries Embedded Systems; Descripción: XVIII, 262 p. online resourceISBN: 9789048199297 99789048199297Tema(s): Engineering | Engineering | PROGRAMMING LANGUAGES, COMPILERS, INTERPRETERS | PROCESSOR ARCHITECTURES | CIRCUITS AND SYSTEMS | SYSTEMS ENGINEERING | SOFTWARE ENGINEERING | SOFTWARE ENGINEERING | COMPUTER SCIENCEClasificación CDD: 621.3815 Recursos en línea: ir a documentoTipo de ítem | Ubicación actual | Colección | Signatura | Info Vol | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
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DOCUMENTOS DIGITALES | Biblioteca Jorge Álvarez Lleras | Digital | 621.3815 223 (Navegar estantería) | Ej. 1 | 1 | Disponible | D000804 |
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1. Introduction -- 2. WCET Analysis Techniques -- 3. WCC - WCET-Aware C Compiler -- 4. WCET-Aware Source Code Level Optimizations -- 5. WCET-Aware Assembly Level Optimizations -- 6. Machine Learning Techniques in Compiler Design -- 7. Multi-Objective Optimizations -- 8. Summary and Future Work -- A. Abstract Interpretation -- B. Transformation of Conditions -- References. List of Figures. List of Tables. Index.
For real-time systems, the worst-case execution time (WCET) is the key objective to be considered. Traditionally, code for real-time systems is generated without taking this objective into account and the WCET is computed only after code generation. Worst-Case Execution Time Aware Compilation Techniques for Real-Time Systems presents the first comprehensive approach integrating WCET considerations into the code generation process. Based on the proposed reconciliation between a compiler and a timing analyzer, a wide range of novel optimization techniques is provided. Among others, the techniques cover source code and assembly level optimizations, exploit machine learning techniques and address the design of modern systems that have to meet multiple objectives. Using these optimizations, the WCET of real-time applications can be reduced by about 30% to 45% on the average. This opens opportunities for decreasing clock speeds, costs and energy consumption of embedded processors. The proposed techniques can be used for all types real-time systems, including automotive and avionics IT systems.
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