Timing Analysis on Code-Level (TACLe)
|Name||Timing Analysis on Code-Level|
|Role of TUHH||Action Vice Chair, member of Working Groups 1, 2 and 4|
|Funds Donor||COST Office Brussels|
TACLe is a four years lasting COST Action funded by the COST Office in Brussels.
Many embedded systems are safety-critical real-time systems that must process data within given deadlines. To validate real-time properties, timing analyses of program code are mandatory. Research on techniques for timing analysis of software touches many areas within computer science, e.g., computer architecture, compiler construction and formal verification.
This COST Action aims to cross-link the leading European researchers in these areas and thus to strengthen Europe's leading position in the field of timing analysis. TACLe's research activities include timing models for multicore systems, support of timing analysis by software development tools, early-stage timing analysis right in the beginning of the software development cycle, and the consideration of resources other than time like, e.g., energy dissipation.
TACLe Publications of the Embedded Systems Design Group
|Title: A Unified WCET Analysis Framework for Multicore Platforms.|
|Written by: Sudipta Chattopadhyay, Lee Kee Chong, Abhik Roychoudhury, Timon Kelter, Peter Marwedel and Heiko Falk|
|in: <em>ACM Transactions on Embedded Computing Systems (TECS)</em>. July (2014).|
|Volume: <strong>13</strong>. Number: (4s),|
|how published: 14-25 CCR+14 TECS|
|Type: © ACM, 2014. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published|
Note: hfalk, ESD, emp2, tacle, WCC
Abstract: With the advent of multicore architectures, worst case execution time (WCET) analysis has become an increasingly difficult problem. In this article, we propose a unified WCET analysis framework for multicore processors featuring both shared cache and shared bus. Compared to other previous works, our work differs by modeling the interaction of shared cache and shared bus with other basic microarchitectural components (e.g., pipeline and branch predictor). In addition, our framework does not assume a timing anomaly free multicore architecture for computing the WCET. A detailed experiment methodology suggests that we can obtain reasonably tight WCET estimates in a wide range of benchmark programs.