The number of granted patents is rapidly growing because of strong business competition. For decision-makers in enterprises, it is necessary to understand the patent evolutions as soon as possible. Thus, how to discov...
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ISBN:
(纸本)9781943436040
The number of granted patents is rapidly growing because of strong business competition. For decision-makers in enterprises, it is necessary to understand the patent evolutions as soon as possible. Thus, how to discover the patent evolutions from patent databases and generate a vivid presentation on them are becoming important. In this study, a patent relationship discovery method was employed to organize the topics of patents in temporal order. A new multi-document summarization method based on graph algorithm was proposed to conduct a summarization analysis for automatically extracting key-phrases from several granted patent documents. The proposed methodology was evaluated using the dataset Wireless Communication Network (encoded with H04W) from granted patents under section G (physics) of United States Patent and Trademark Office (USPTO). The experimental results show that the proposed methodology can obtain more effective results than other methods for extracting keywords and helping users discovering critical techniques. Copyright ISCA, CAINE 2016.
There have been significant advances in methods for specifying and solving models that aim to predict the performance and dependability of computer systems and networks. At the same time, however, there have been dram...
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The conventional computing architecture faces substantial chal-lenges,including high latency and energy consumption between memory and processing *** response,in-memory computing has emerged as a promising alternative...
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The conventional computing architecture faces substantial chal-lenges,including high latency and energy consumption between memory and processing *** response,in-memory computing has emerged as a promising alternative architecture,enabling computing operations within memory arrays to overcome these *** devices have gained significant attention as key components for in-memory computing due to their high-density arrays,rapid response times,and ability to emulate biological *** these devices,two-dimensional(2D)material-based memristor and memtransistor arrays have emerged as particularly promising candidates for next-generation in-memory computing,thanks to their exceptional performance driven by the unique properties of 2D materials,such as layered structures,mechanical flexibility,and the capability to form *** review delves into the state-of-the-art research on 2D material-based memristive arrays,encompassing critical aspects such as material selection,device perfor-mance metrics,array structures,and potential ***,it provides a comprehensive overview of the current challenges and limitations associated with these arrays,along with potential *** primary objective of this review is to serve as a significant milestone in realizing next-generation in-memory computing utilizing 2D materials and bridge the gap from single-device characterization to array-level and system-level implementations of neuromorphic computing,leveraging the potential of 2D material-based memristive devices.
Emerging non-volatile memories have many advantages over conventional memory. Unfortunately, many are susceptible to write endurance challenges, resulting in stuck-at faults. Existing mitigation methods statically par...
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More and more network applications have appeared in recent years. Government, university, industry and individual Internet users and network services need more bandwidth and various network applications. Many new netw...
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Phase change memory is a promising alternative to conventional memories such as DRAM due to its density and non-volatility. Unfortunately, reliability is still a challenge as limited write endurance, exacerbated by pr...
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In this paper, we develop data-driven strategies for batch computing schedulers. Current CPU-centric batch schedulers ignore the data needs within workloads and execute them by linking them transparently and directly ...
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ISBN:
(纸本)9781605585895
In this paper, we develop data-driven strategies for batch computing schedulers. Current CPU-centric batch schedulers ignore the data needs within workloads and execute them by linking them transparently and directly to their needed data. When scheduled on remote computational resources, this elegant solution of direct data access can incur an order of magnitude performance penalty for data-intensive workloads. Adding data-awareness to batch schedulers allows a careful coordination of data and CPU allocation thereby reducing the cost of remote execution. We offer here new techniques by which batch schedulers can become data-driven. Such systems can use our analytical predictive models to select one of the four data-driven scheduling policies that we have created. Through simulation, we demonstrate the accuracy of our predictive models and show how they can reduce time to completion for some workloads by as much as 80%. Copyright 2009 ACM.
As Grid computing is becoming a reality, there is a need for managing and monitoring the available resources worldwide, as well as the need for conveying these resources to the everyday user. This paper describes a re...
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In this paper, we present a general survey on parallel computing. The main contents include parallel computer system which is the hardware platform of parallel computing, parallel algorithm which is the theoretical ba...
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In this paper, we present a general survey on parallel computing. The main contents include parallel computer system which is the hardware platform of parallel computing, parallel algorithm which is the theoretical base of parallel computing, parallel programming which is the software support of parallel computing. After that, we also introduce some parallel applications and enabling technologies. We argue that parallel computing research should form an integrated methodology of "architecture algorithm programming application". Only in this way, parallel computing research becomes continuous development and more realistic.
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