By Thomas Lundqvist, Per Stenström (auth.), Frank Mueller, Azer Bestavros (eds.)
This ebook constitutes the strictly refereed post-workshop complaints of the ACM SIGPLAN Workshop on Languages, Compilers, and instruments for Embedded platforms, LCTES '98, held in Montreal, Canada, in June 1998.
The 19 revised papers provided have been rigorously reviewed and chosen from a complete of fifty four submissions for inclusion within the ebook; additionally incorporated are one complete paper and an summary of an invited contribution. The papers handle all present facets of study and improvement within the quickly becoming quarter of embedded platforms and real-time computing.
Read or Download Languages, Compilers, and Tools for Embedded Systems: ACM SIGPLAN Workshop LCTES’98 Montreal, Canada, June 19–20, 1998 Proceedings PDF
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Additional info for Languages, Compilers, and Tools for Embedded Systems: ACM SIGPLAN Workshop LCTES’98 Montreal, Canada, June 19–20, 1998 Proceedings
F. Stappert and P. Altenbernd. Complete Worst-Case Execution Time Analysis of Straight-line Hard Real-Time Programs. C-LAB Report 27/97, Paderborn, Germany, December 1997. 16. R. T. White, F. Mueller, C. A. Healy, D. B. Whalley, and M. G. Harmon. Timing analysis for data caches and set-associative caches. In Proceedings of the 3nd IEEE Real-Time Technology and Applications Symposium, pages 192-202, June 1997. 17. E. Witchel and M. Rosenblum. Embra: Fast and flexible machine simulation. In Proceedings of ACM SIGMETRICS '96, pages 68-79, 1996.
Then, no pessimism would be incurred on a merge operation. While it is not possible to know in advance which of the two paths belongs to the worst-case path, a good guess would be that the longer of the two belongs to the worst-case path. If we also estimate how big effect the timing state of the shorter path has on the future execution time, we can make sure whether it is correct to use the WCE T of the longer path along with its timing state when merging two paths. This approach is formulated in the following algorithm where we assume that the worst-case execution times of the long and the short paths are WCETL and WCETs, respectively.
Their work includes a method to determine the data reuse for (blocked) algorithms on matrices. Their approach is limited to loop nests with only uniformly generateddependences and cache interferences are not taken into consideration. In the absence of interferences, their methods can be used to precisely determine the reuse and thereby the number of cache misses for some restricted classes of loop nests. In 9, Ghosh, Martonosi, and Malik present an analysis to compute an equation system (called cache miss equations CMEs) that describes the number of data cache misses produced by the array references of o n e loop nest with perfectly nested loops and affinely addressed arrays for direct mapped caches.