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Marwedel/etal/2017a: Memory-Aware Optimization of Embedded Software for Multiple Objectives

Bibtype Inbook
Bibkey Marwedel/etal/2017a
Author Marwedel, Peter and Falk, Heiko and Neugebauer, Olaf
Editor Ha, Soonhoi and Teich, Jürgen
Title Memory-Aware Optimization of Embedded Software for Multiple Objectives
Volume Handbook of Hardware/Software Codesign
Pages 1-37
Publisher Springer
Abstract Information processing in Cyber-Physical Systems (CPSs) has to respect a variety of constraints and objectives such as response and execution time, energy consumption , Quality of Service (QoS), size, and cost. Due to the large impact of the size of memories on their energy consumption and access times, an exploitation of memory characteristics offers a large potential for optimizations. In this chapter, we will describe optimization approaches proposed by our research groups. We will start with optimizations for single objectives, such as energy consumption and execution time. As a consequence of considering hard real-time systems , special attention is on the minimization of the Worst-Case Execution Time (WCET) within compilers . Three WCET reduction techniques are analyzed: exploitation of scratchpads, instruction cache locking, and cache partitioning for multitask systems. The last section presents an approach for considering trade-offs between multiple objectives in the design of a cyber-physical sensor system for the detection of bio-viruses.
Month April
Year 2017
Projekt SFB876-A3
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