Manish Verma, Peter Marwedel's Advanced Memory Optimization Techniques for Low-Power PDF

By Manish Verma, Peter Marwedel

ISBN-10: 1402058969

ISBN-13: 9781402058967

ISBN-10: 1402058977

ISBN-13: 9781402058974

The layout of embedded platforms warrants a brand new standpoint as a result of the following purposes: to start with, gradual and effort inefficient reminiscence hierarchies have already develop into the bottleneck of the embedded platforms. it's documented within the literature because the reminiscence wall challenge. Secondly, the software program operating at the modern embedded units is changing into more and more complicated. it's also good understood that no silver bullet exists to resolve the reminiscence wall challenge. for this reason, this ebook explores a collaborative method through providing novel reminiscence hierarchies and software program optimization recommendations for the optimum usage of those reminiscence hierarchies. Linking reminiscence structure layout with memory-architecture acutely aware compilation ends up in quick, energy-efficient and timing predictable reminiscence accesses. The evaluate of the optimization recommendations utilizing real-life benchmarks for a unmarried processor method, a multiprocessor system-on-chip (SoC) and for a electronic sign processor method, reviews major mark downs within the power intake and function development of those platforms. The publication provides a variety of optimizations, steadily expanding within the complexity of study and of reminiscence hierarchies. the ultimate bankruptcy covers optimization innovations for functions along with a number of strategies present in latest embedded units. complex reminiscence Optimization options for Low strength Embedded Processors is designed for researchers, complier writers and embedded process designers / architects who desire to optimize the strength and function features of the reminiscence subsystem.

Show description

Read Online or Download Advanced Memory Optimization Techniques for Low-Power Embedded Processors PDF

Best microprocessors & system design books

Read e-book online Digital Signal Processing in VLSI PDF

A heuristic exam of DSP algorithms, the special-purpose DSP ICs, and the software program instruments constructed to hold them out successfully.

The Microcontroller Idea Book Circuits, Programs, by Jan Axelson PDF

A hands-on advent to microcontroller undertaking layout with dozens of instance circuits and courses. provides useful designs to be used in facts loggers, controllers, and different small-computer purposes. instance circuits and courses within the ebook are in response to the preferred 8052-BASIC microcontroller, whose on-chip uncomplicated programming language makes it effortless to jot down, run, and try your courses.

Download e-book for iPad: Z80 Microprocessor: Architecture, Interfacing, Programming by Ramesh S. Gaonkar

This article is meant for microprocessor classes on the undergraduate point in know-how, engineering, and computing device technological know-how. Now in its 3rd version, it presents a entire therapy of the microprocessor, masking either and software program in keeping with the Z80 microprocessor kinfolk. This variation preserves the focal point of the sooner variations and contains the subsequent adjustments: * Chapters were revised to incorporate the newest technological adjustments in 32- and 64-bit microprocessors and 8-bit microcontrollers.

Download PDF by Arslan Munir, Ann Gordon-Ross, Sanjay Ranka: Modeling and optimization of parallel and distributed

This ebook introduces the state of the art in learn in parallel and disbursed embedded structures, which were enabled by means of advancements in silicon know-how, micro-electro-mechanical platforms (MEMS), instant communications, laptop networking, and electronic electronics. those structures have different functions in domain names together with army and safety, scientific, automobile, and unmanned independent cars.

Extra resources for Advanced Memory Optimization Techniques for Low-Power Embedded Processors

Sample text

This should result in more energy efficient scratchpad allocations for the Frac. SA approach than those for the SA approach. 5(a), as the energy values for the Frac. SA approach are smaller than or equal to those for the SA approach. However, as discussed earlier, the Frac. SA approach cannot always determine a better allocation than the SA approach because the energy valence for each element within a memory object is not always a constant. 5(b), we observe that at only three points (100, 200 and 300 bytes) the Frac.

7. Multi-Process Edge Detection: Energy Consumption for Varying Compute Processors and Scratchpad Sizes (Cycle Latency = 1 Master Cycle) execution time values for the Frac. SA approach and the SA approach. The average energy value for each benchmark is computed by averaging over all energy values obtained for scratchpad memories of 128, 256, 512 and 1024 bytes. Subsequently, the value is normalized against the energy value obtained for a system without a scratchpad. The same procedure is used to compute the normalized averaged execution time values for the benchmarks.

The SA approach achieves a maximum total energy reduction of 71%, 84%, 87% and 88% for main memories with 1, 5, 10 and 20 master clock latencies, respectively. 3 M5 DSP The M5 DSP in its default configuration contains a large onchip group memory to hold the data variables. The energy dissipation of the data memory hierarchy is improved by inserting a small and energy efficient L1 scratchpad or group memory. The approaches presented in this chapter and in the subsequent chapters reduce the energy dissipation through the improved utilization of the L1 scratchpad memory.

Download PDF sample

Advanced Memory Optimization Techniques for Low-Power Embedded Processors by Manish Verma, Peter Marwedel

by Richard

Rated 4.61 of 5 – based on 32 votes