Worst-Case Execution Time Aware Compilation Techniques for by Paul Lokuciejewski

By Paul Lokuciejewski

For real-time structures, the worst-case execution time (WCET) is the main target to be thought of. typically, code for real-time structures is generated with no taking this target into consideration and the WCET is computed merely after code new release. Worst-Case Execution Time acutely aware Compilation recommendations for Real-Time Systems offers the 1st complete technique integrating WCET issues into the code new release method. in line with the proposed reconciliation among a compiler and a timing analyzer, a variety of novel optimization suggestions is supplied. between others, the suggestions hide resource code and meeting point optimizations, make the most computing device studying ideas and deal with the layout of recent platforms that experience to satisfy a number of objectives.

Using those optimizations, the WCET of real-time functions should be diminished by means of approximately 30% to forty five% at the general. This opens possibilities for reducing clock speeds, expenses and effort intake of embedded processors. The proposed innovations can be utilized for all sorts real-time platforms, together with automobile and avionics IT systems.

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Worst-Case Execution Time Aware Compilation Techniques for Real-Time Systems

For real-time platforms, the worst-case execution time (WCET) is the major target to be thought of. frequently, code for real-time structures is generated with no taking this goal into consideration and the WCET is computed basically after code new release. Worst-Case Execution Time conscious Compilation recommendations for Real-Time platforms provides the 1st complete method integrating WCET issues into the code new release procedure.

Extra info for Worst-Case Execution Time Aware Compilation Techniques for Real-Time Systems

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Finally, an overview of WCC’s target architecture, the Infineon TriCore processor, is provided in Sect. 8. 2 Related Work A first approach to integrate a WCET analysis into a compiler was presented in [Bör96]. The framework expects flow facts in the form of source code pragmas which are forwarded to the compiler backend. 2 Related Work 25 facts consistent during code transformation are supported, the application of compiler optimizations might invalidate the specified flow facts. Moreover, this framework uses a path-based WCET calculation which does not scale well for larger programs.

4 Integration of WCET Analyzer . . . . . . . . 1 Conversion from LLIR to CRL2 . . . . . 2 Invocation of aiT . . . . . . . . . 3 Import of Worst-Case Execution Data . . . . 5 Modeling of Flow Facts . . . . . . . . . . 1 Specification of Flow Facts . . . . . . . 2 Translation and Transformation of Flow Facts . . 6 Static Loop Analysis . . . . . . . . . . 1 Related Work . . . . . . . . . . 2 Abstract Interpretation . .

Code32 MOV D9, D8 This directive ensures that the assembler handles this operation as 32 bit wide. 2 Exploitation of Memory Hierarchy Specification Another challenge for the conversion of LLIR into CRL2 are physical addresses. When CRL2 is constructed from a binary, the complete physical memory layout of the program is available. , the physical addresses of basic blocks and global data objects. Moreover, the assembler and linker resolve symbolic labels used in the assembly code for references to branch targets and global memory addresses into physical addresses.

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