Design Of Prioritized Lru Circuits For Cache Of Multi Core Real Time Systems

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Design of Prioritized LRU Circuits for Cache of Multi-core Real-time Systems

With the advancement of technology, multi-cores with shared cache have been used in real-time applications. In such systems, some cores run real-time applications and some cores run other non-critical applications that do not have strict deadline. Due to the sharing of cache by multi-core processors, problems predicting the actual execution time and the execution time of real-time applications have emerged. To address these problems, cache memory with prioritized replacement policy is proposed. Most of the work is carried out in high-level hardware designs and software based application level designs. No low-level hardware implementations of cache memory with prioritized replacement circuits have been designed to the best of the author's knowledge. This thesis focuses on designing a LRU replacement circuit that is prioritized based on the application the processor is running. Real-time applications acquire priority in using the cache memory over other applications which enhance the seamless execution of the real-time application and hence supports execution time predictability which in turn helps improve the potential of multi-core computing of real-time systems. The speed, size and power overhead are analyzed by placing the N-way set associative LRU as a part of cache of size 128KB designed using 65nm CMOS technology.
Least-recently-used (LRU) Circuit Design for Prioritized Cache

In modern embedded systems, real-time applications are often executed on multi-core systems that also run non real-time critical applications. It is well known that cache sharing among multi-core systems or concurrent threads running on a single CPU potentially causes real-time application execution delays. This makes the worst-case execution time (WCET) prediction of these real-time applications more difficult. An encouraging approach to address this problem is prioritized cache. Currently, the implementation of prioritized cache is done at the architectural level using cache controllers. This thesis focuses on the implementation of two prioritized LRU (least-recently-used) cache replacement policy circuits inside the cache circuit to support the prioritized cache operation. This will decrease cache latency. The circuits are implemented using the Synopsys 28nm EDK. Based on the circuit implementation, the area and power overheads associated with prioritized cache are investigated. Two prioritized LRU circuit designs are presented.
Introduction to Embedded Systems, Second Edition

An introduction to the engineering principles of embedded systems, with a focus on modeling, design, and analysis of cyber-physical systems. The most visible use of computers and software is processing information for human consumption. The vast majority of computers in use, however, are much less visible. They run the engine, brakes, seatbelts, airbag, and audio system in your car. They digitally encode your voice and construct a radio signal to send it from your cell phone to a base station. They command robots on a factory floor, power generation in a power plant, processes in a chemical plant, and traffic lights in a city. These less visible computers are called embedded systems, and the software they run is called embedded software. The principal challenges in designing and analyzing embedded systems stem from their interaction with physical processes. This book takes a cyber-physical approach to embedded systems, introducing the engineering concepts underlying embedded systems as a technology and as a subject of study. The focus is on modeling, design, and analysis of cyber-physical systems, which integrate computation, networking, and physical processes. The second edition offers two new chapters, several new exercises, and other improvements. The book can be used as a textbook at the advanced undergraduate or introductory graduate level and as a professional reference for practicing engineers and computer scientists. Readers should have some familiarity with machine structures, computer programming, basic discrete mathematics and algorithms, and signals and systems.