Worst Case Execution Time Aware Compilation Techniques for Real Time Systems is popular PDF and ePub book, written by Paul Lokuciejewski in 2010-09-24, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Worst Case Execution Time Aware Compilation Techniques for Real Time Systems can be Read Online from any device for your convenience.

Worst Case Execution Time Aware Compilation Techniques for Real Time Systems Book PDF Summary

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.

Detail Book of Worst Case Execution Time Aware Compilation Techniques for Real Time Systems PDF

Worst Case Execution Time Aware Compilation Techniques for Real Time Systems
  • Author : Paul Lokuciejewski
  • Release : 24 September 2010
  • Publisher : Springer Science & Business Media
  • ISBN : 9789048199297
  • Genre : Technology & Engineering
  • Total Page : 268 pages
  • Language : English
  • PDF File Size : 9,9 Mb

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