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標(biāo)題: Titlebook: Near Threshold Computing; Technology, Methods Michael Hübner,Cristina Silvano Book 2016 Springer International Publishing Switzerland 2016 [打印本頁]

作者: NO610    時(shí)間: 2025-3-21 16:51
書目名稱Near Threshold Computing影響因子(影響力)




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書目名稱Near Threshold Computing讀者反饋




書目名稱Near Threshold Computing讀者反饋學(xué)科排名





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Josep Torrellase array of applications, particularly web-based ones. However, the dynamic and unpredictable nature of workloads in web applications poses considerable challenges in designing effective strategies for cloud auto-scaling. Existing research primarily relies on single-step prediction methods or focuses
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Avesta Sasan,Fadi J. Kurdahi,Ahmed M. Eltawilpens the door towards new habits. To avoid being submerged by too much information it is necessary to equip each electronic component present in user’s daily life with capacities to take into account his needs according to his actions, to assist him while learning and anticipating on his behavior in
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Many-Core Architecture for NTC: Energy Efficiency from the Ground Uple cores and substantial memory on the die. However, to construct such a chip, we need to fundamentally rethink the whole compute stack from the ground up for energy efficiency. First of all, we need techniques that minimize and tolerate process variation. It is also important to conceive highly-eff
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Resizable Data Composer (RDC) Cache: A Near-Threshold Cache Tolerating Process Variation via Architetecture is custom designed to operate correctly in Near-Threshold voltages, at sub 500 mV in 65 nm technology while tolerating a large number of Manufacturing Process Variation induced defects. Based on a smart relocation and resizing methodology, RDC-Cache decomposes the data that is targeted for a
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Book 2016?Readers will be enabled with specific techniques to design chips that are extremely robust; tolerating variability and resilient against errors.?Variability-aware voltage and frequency allocation schemes will be presented that will provide performance guarantees, when moving toward near-threshold m
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Variability-Aware Voltage Island Management for Near-Threshold Computing with Performance Guaranteesage and frequency allocation schemes. We propose three aggressive NTC voltage tuning and allocation strategies, showing that performance can be efficiently sustained or even optimized at the NTC regime. Finally, we show that NTC highly depends on the underlying workload characteristics, delivering a
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so that each region of the chip can operate at the most efficient voltage and frequency point;.·???????? Investigates how performance guarantees can be ensured when moving towards NTC manycores through variability-aware voltage and frequency allocation schemes..978-3-319-37209-9978-3-319-23389-5
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time are significantly influenced by the order of adding activities. In this paper, we investigate the effect of different ordering strategies on the discovered models (w.r.t. fitness and precision) and the computation time using real-life event data. The results show that the proposed ordering stra
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h specific modality combination.. The results provide the following conclusions: First, the machine learning in the recent years plays an important role in the automatic registration process. An important number of research propose a learning-based registration solution. Second, There few solutions
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Shekhar Borkartypo based on masked language model output, character-level similarities, and edit distance. Exploiting the combination of the masked language model, character-level similarities, and edit distance assists us in recommending similar context-related candidates. We have used recall (correction rate) a
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, and the necessity for system clarity and interpretability. Through a comprehensive examination, we unveil not only innovative strategies for integrating Language Models (LLMs) with Information Retrieval (IR) systems, but also the consequential considerations that underline the need for a balanced
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Josep Torrellases accurate predictions of future workloads over designated time intervals through multi-step forecasting. By utilising two real-world web workload datasets, our experiments aim to underscore the significance of using real-world data in delivering a comparative performance analysis between single-st
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g to discernible patterns in claims. Our study compares time series models across various legislative environments in Australia, examining the claims managed by multiple insurers to discern any variability due to legislation. This analysis is enriched by the data from the Navigator Support Program,
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Avesta Sasan,Fadi J. Kurdahi,Ahmed M. Eltawilong time needed to create the composition. To ground the research on LLMs for service compositions, we identify six representative scenarios of service compositions from the literature and perform experiments with ChatGPT and GPT-4 as a notable, representative application of LLMs. Finally, we frame
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Avesta Sasan,Fadi J. Kurdahi,Ahmed M. Eltawilion of a Temporary Terminological Network (TTN). This Network is then merged with other document’s extracted networks, in order to create a Permanent Terminological Network (PTN), relevant to the studied collection and used to index this collection thanks to a clustering approach. Preliminary result
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Tobias Gemmeke,Mohamed M. Sabry,Jan Stuijt,Pieter Schuddinck,Praveen Raghavan,Francky Catthoor
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