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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering
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Time-Predictable Embedded Software on Multi-Core Platforms - Analysis and Optimization (Paperback)
Loot Price: R2,218
Discovery Miles 22 180
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Time-Predictable Embedded Software on Multi-Core Platforms - Analysis and Optimization (Paperback)
Series: Foundations and Trends (R) in Electronic Design Automation
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Multi-core architectures have recently gained in popularity due to
their high-performance and low-power characteristics. Most modern
desktop systems are now equipped with multi-core processors.
Despite the wide-spread adaptation of multi-core processors in
desktop systems, using such processors in embedded systems still
poses several challenges. Real-time, embedded systems often need to
satisfy several extra-functional constraints, such as timing. In
particular, for hard real-time systems, such timing constraints are
strictly enforced. Violation of these timing constraints may have
serious consequences, potentially costing human lives. Therefore,
static timing-analysis of hard real-time systems has emerged as a
critical problem to solve. This monograph first discusses the
challenges imposed by multi-core architectures in designing
time-predictable embedded systems. It goes on to describe, in
detail, a comprehensive solution to guarantee time-predictable
execution on multi-core platforms. It also discusses various
techniques and surveys the state-of-the-art in terms of available
solutions. Throughout the text, the aim is to provide a solid
background on recent trends in research towards achieving
time-predictability on multi-cores. It also highlights the
limitations of the state-of-the-art and discusses future research
opportunities and challenges to accomplish time-predictable
execution on multi-core platforms. The monograph is an ideal
reference for embedded systems designers and researchers interested
in having a foundation for building time-predictable software on
multi-core platforms. It will also help the research community to
address the existing challenges in this area.
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