Titlebook: Designing Embedded Processors; A Low Power Perspect Jörg Henkel,Sri Parameswaran Book 2007 Springer Science+Business Media B.V. 2007 Embedd

强所

Etienne E. Kerre,Martine De Cockue uses compressed instruction in memory, to be expanded just before execution in the processor. This enables a smaller code footprint, and reduced power consumption. This chapter explains the methods, and shows the benefits of two orthogonal approaches to the design of an embedded system.

Notorious

Lecture Notes in Computer Scienceemory architecture and accesses affect system power dissipation, and some recent proposals on reducing memory-related power through diverse mechanisms: optimisations of the traditional cache memory system, architectural innovations targeting application specific designs, compiler optimisations, and other techniques.

公司

S. Tano,T. Arnould,Y. Kato,T. Miyoshi conservation. This chapter outlines three online, dynamic techniques to more aggressively scale back processing frequency and voltage to conserve energy when task computation cycles vary, yet continue to provide timeliness guarantees for worst-case execution time scenarios.

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https://doi.org/10.1007/978-1-4615-4068-7ook computer show that total . energy savings of up to 28% can be achieved with performance degradation of less than 5% for the SPEC CPU95 benchmarks. On average, the system energy and energy-delay product are reduced by 11% and 9%, respectively, with a performance slowdown of 2%.

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mplete system.Many of the top researchers and practitioners .As we embrace the world of personal, portable, and perplexingly complex digital systems, it has befallen upon the bewildered designer to take advantage of the available transistors to produce a system which is small, fast, cheap and correc

DEBT

Lecture Notes in Computer Sciencel principles are applicable to all such systems. This chapter provides an overview of the basics in power and performance tradeoff and in real-time system scheduling. It also discusses the benefit of power-aware scheduling via a simple example. A categorization of different power-aware scheduling techniques are presented at the end.

maverick

Masuo Furukawa,Takeshi YamakawaThe first technique targets a popular dynamic-priority task scheduling algorithm, i.e., the Earliest Deadline First algorithm, while the second is applicable to any fixedpriority task scheduling algorithm. Other related work is reviewed at the end of the chapter.

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Self-Help-Group

https://doi.org/10.1007/978-1-4615-4068-7he compiler to reshape program behavior through aggressive, whole program optimizations, and to predict future program behaviors can give it an advantage over hardware and operating systems techniques. This chapter introduces several optimization metrics, together with state-of-the-art optimizations that target these metrics.

hazard

Machine Learning for an Adaptive Rule BaseExperimental results with a typical embedded RISC processor show that the proposed energy-efficient IS synthesis technique can generate application-specific ISs that are up to 40% more energy-efficient over the native IS for several application benchmarks.