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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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發(fā)表于 2025-3-30 10:59:08 | 只看該作者
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發(fā)表于 2025-3-30 15:07:28 | 只看該作者
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發(fā)表于 2025-3-30 17:04:48 | 只看該作者
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發(fā)表于 2025-3-30 21:05:36 | 只看該作者
Global Transformation Strategies for Power and Storage Size Reduction,low 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
55#
發(fā)表于 2025-3-31 01:53:56 | 只看該作者
Memory Hierarchy and Data Reuse Decision Exploration, in data dominated applications. Effective formalized techniques to deal with this specific task have not been addressed up to now. In this chapter, the design freedom available for the basic problem is explored in-depth and the outline of a systematic solution methodology is proposed. The efficienc
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發(fā)表于 2025-3-31 05:43:03 | 只看該作者
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發(fā)表于 2025-3-31 13:07:22 | 只看該作者
Memory Allocation and Assignment,ch means that it is important to make the right choice. Therefore, we have introduced a memory allocation and assignment step in our design flow, where trade-offs are made to arrive to an optimal memory architecture. In this step we take into account both the bandwidth constraints defined in chapter
58#
發(fā)表于 2025-3-31 16:38:14 | 只看該作者
Storage Order Optimization for Reducing Storage Size Requirements,ch 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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發(fā)表于 2025-3-31 21:02:56 | 只看該作者
60#
發(fā)表于 2025-3-31 23:54:30 | 只看該作者
Conclusions and Future Work,rn out to be data-dominated. Experiments have shown that for such data-dominated applications, a very large part of the power consumption is due the data storage and data transfer. Also the area cost is for a large part dominated by the memories. However, until recently, outside our group little res
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