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Titlebook: VLSI-SoC: At the Crossroads of Emerging Trends; 21st IFIP WG 10.5/IE Alex Orailoglu,H. Fatih Ugurdag,Ricardo Reis Conference proceedings 20

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楼主: implicate
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Davide Sabena,Matteo Sonza Reorda,Luca Sterponechniques that have been developed to deal with these illnesses and the vast body of knowledge accumulated regarding its causes and pathogenesis. Over the last decade, basic science researchers have determined that the systemic inflammatory response syndrome (SIRS) and a number of related clinical en
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Debugging Methods Through Identification of Appropriate Functions for Internal Gates,rammable circuits, such as look up table (LUT) and multiplexer (MUX) to the circuits under debugging, in order to formulate the correction processes mathematically. There are two steps in the proposed methods. The first one is to identify sets of gates and their appropriate inputs whose functions ar
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Gate Sizing Under Uncertainty,in the objective function in order enable more efficient power and speed yield trade-offs. Our algorithm conducts iterative gate freezing and unlocking with cut-based search for the most beneficial gate sizes under delay constraints. In an iterative flow, we interchangeably conduct gate sizing and I
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Quantitative Optimization and Early Cost Estimation of Low-Power Hierarchical-Architecture SRAMs Baoverall power budget. However, the broad amount of choices regarding the capacity, wordlengths and operational modes make it hard for designers to determine the optimal SRAM architecture. Additionally, many low-power techniques and circuits are frequently utilized but not supported by previously pro
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,Low-Power Low-Voltage ΔΣ Modulator Using Switched-Capacitor Passive Filters,ich improves the voltage swing prior to the quantizer. This enables a simpler comparator design and cascade of three passive filters. The passive integrator, as an alternate option to its power-hungry active counterpart, and the non-idealities associated with it are investigated. The active integrat
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Fine Grain Precision Scaling for Datapath Approximations in Digital Signal Processing Systems, has been explored in a broader approximate computing context, where architectures allowing for fine-grain control of hardware or software accuracy have been proposed. One of the obstacles for adoption of fine-grain scaling techniques is that they require determining the precision of all intermediat
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