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Titlebook: Computing with Memory for Energy-Efficient Robust Systems; Somnath Paul,Swarup Bhunia Book 2014 Springer Science+Business Media New York 2

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Time, Temporal, and Temporalityserves as an input to the backend of the software flow. The number of MLB resources and their organization dictate the decisions made by the flow during scheduling, resource allocation, placement and routing. The output from the backend is a bitfile which can be directly loaded into the MBC hardware
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Atomic Absorption Spectroscopy, occurs only during the process of application mapping. For a given technology, optimizing a memory cell for both read and write pose contradictory requirements (Mukhopadhyay et al., IEEE Trans Comput Aided Des Integrated Circ Syst 24(12), 2005). However, exploiting the read-dominated memory access
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A Survey of Computing Architecturessing units and FPGAs. Motivated by the fact that hardware reconfigurable frameworks like FPGAs can significantly benefit energy-efficiency for compute-intensive workloads, we then discuss some well-known hardware reconfigurable architectures. Finally we discuss the scaling challenges for fully-spatial reconfigurable architectures such as FPGAs.
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Motivation for a Memory-Based Computing Hardwarentional hardware and software reconfigurable frameworks at nanoscale technologies. We then provide an outline for a new computing model which bridges the gap between memory and logic. Given the rapid evolution of CMOS and non-CMOS memory technologies, we explain the benefits of such in-memory computing model.
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