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Titlebook: Custom Memory Management Methodology; Exploration of Memor Francky Catthoor,Sven Wuytack,Arnout Vandecappelle Book 1998 Springer-Verlag US

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書目名稱Custom Memory Management Methodology
副標(biāo)題Exploration of Memor
編輯Francky Catthoor,Sven Wuytack,Arnout Vandecappelle
視頻videohttp://file.papertrans.cn/242/241567/241567.mp4
圖書封面Titlebook: Custom Memory Management Methodology; Exploration of Memor Francky Catthoor,Sven Wuytack,Arnout Vandecappelle Book 1998 Springer-Verlag US
描述The main intention of this book is to give an impression of the state-of-the-art in system-level memory management (data transfer and storage) related issues for complex data-dominated real-time signal and data processing applications. The material is based on research at IMEC in this area in the period 1989- 1997. In order to deal with the stringent timing requirements and the data dominated characteristics of this domain, we have adopted a target architecture style and a systematic methodology to make the exploration and optimization of such systems feasible. Our approach is also very heavily application- driven which is illustrated by several realistic demonstrators, partly used as red-thread examples in the book. Moreover, the book addresses only the steps above the traditional high-level synthesis (scheduling and allocation) or compilation (traditional or ILP oriented) tasks. The latter are mainly focussed on scalar or scalar stream operations and data where the internal structure of the complex data types is not exploited, in contrast to the approaches discussed here. The proposed methodologies are largely independent of the level of programmability in the data-path and contr
出版日期Book 1998
關(guān)鍵詞CAD; Signal; algorithms; architecture; computed tomography (CT); computer; computer-aided design (CAD); des
版次1
doihttps://doi.org/10.1007/978-1-4757-2849-1
isbn_softcover978-1-4419-5061-1
isbn_ebook978-1-4757-2849-1
copyrightSpringer-Verlag US 1998
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Factors of Production: Technologyre addressed as constraints and the cost function is mainly composed of area and power related terms. For memories, it is usually feasible to obtain closed-form formulas for the area and power in terms of the main parameters: number of bits, number of words, postdecoding (folding) factor, number of
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Factors of Production: Technologyy scattered, and many different formalisms are being used. We present a unified view on these techniques and formalisms. Next, we show how these models can be used and extended to accurately describe the occupation of memories used for storing multi-dimensional data. Moreover, we derive the necessar
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https://doi.org/10.1057/9781137503268low transformations will be considered in section 8.1 to section 8.3. They allow to remove redundant access in the data-flow and they serve as enablerfor the subsequent transformation steps by removing data-flow bottle-necks wherever it is cost effective to do so..Then, global loop (and other contro
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Foundations of German Commerce and Industrythesis. Therefore, it has to provide sufficient storage bandwidth (parallel memory ports) such that the application can be scheduled within the cycle budget afterwards. Determining optimal constraints for the subsequent memory allocation and assignment tasks such that the cycle budget can still be m
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Post-Revolutionary War Commerce and Tradech that the storage size requirements are minimized for a given execution ordering (largely determined in the previous steps). Before developing a practical optimization strategy, we have derived a powerful model of the problem in chapter 5 and gained some vital insights. Now we are ready to proceed
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