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Fast, Efficient and Predictable Memory Accesses

Optimization Algorithms for Memory Architecture Aware Compilation
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781402048227
Veröffentl:
2006
Seiten:
258
Autor:
Lars Wehmeyer
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:

Speed improvements in memory systems have not kept pace with the speed improvements of processors, leading to embedded systems whose performance is limited by the memory. This book presents design techniques for fast, energy-efficient and timing-predictable memory systems that achieve high performance and low energy consumption. In addition, the use of scratchpad memories significantly improves the timing predictability of the entire system, leading to tighter worst case execution time bounds.
"Fast, Efficient and Predictable Memory Accesses presents techniques for designing fast, energy-efficient and timing predictable memory systems. By using a careful combination of compiler optimizations and architectural improvements, we can achieve more than what would be feasible at one of the levels in isolation. The described optimization algorithms achieve the goals of high performance and low energy consumption. In addition to these benefits, the use of scratchpad memories significantly improves the timing predictability of the entire system, leading to tighter worst case execution time bounds (WCET). The WCET is a relevant design parameter for all timing critical systems. In addition, the book covers algorithms to exploit the power down modes of main memories in SDRAM technology, as well as the execute-in-place feature of Flash memories. The final chapter considers the impact of the register file, which is also part of the memory hierarchy. TOC:1 Abstract.- 2 Introduction.- 3 Models and Tools.- 4 Scratchpad Memory Optimizations.- 5 Main Memory Optimizations.- 6 Register File Optimization.- 7 Summary.- 8 Future Work.- Index. References."
Abstract.- Models and Tools.- Scratchpad Memory Optimizations.- Main Memory Optimizations.- Register File Optimization.- Summary.- Future Work.

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