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共 333 条记录，以下是121-130 订阅

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2017 IEEE International conference on Rebooting computing, ICRC 2017 - Proceedings

2017 IEEE International Conference on Rebooting Computing, I...

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2017 IEEE International conference on Rebooting computing, ICRC 2017

ISBN: (纸本)9781538615539

The proceedings contain 58 papers. The topics discussed include: an Ising computer based on simulated quantum annealing by path integral Monte Carlo method;an energy-efficient mixed-signal neuron for inherently error-resilient neuromorphic systems;impact of linearity and write noise of analog resistive memory devices in a neural algorithm accelerator;synchronised 4-phase resonant power clock supply for energy efficient adiabatic logic;in-memory execution of compute kernels using flow-based memristive crossbar computing;heterogeneous technology configurable fabrics for field-programmable co-design of CMOS and spin-based devices;reducing binary quadratic forms for more scalable quantum annealing;CMOS based scalable cryogenic control electronics for Qubits;a unified hardware/software co-design framework for neuromorphic computing devices and applications;quantum accelerators for high-performance computing systems;NNgine: ultra-efficient nearest neighbor accelerator based on in-memory computing;rebooting the data access hierarchy of computing systems;the superstrider architecture: integrating logic and memory towards non-von Neumann computing;a spike-timing neuromorphic architecture;auditory neural pathway simulation;and a new concept for computing using interconnect crosstalks.

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Management issues with cloud computing 13

Management issues with cloud computing

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2013 2nd International conference on Innovative computing and Cloud computing, ICCC 2013

作者： Akande, Akinlolu Olumide April, Nozuko Aurelia Van Belle, Jean-Paul Department of Information Systems University of Cape Town Private Bag X3 Rondebosch 7701 South Africa Shosholoza Meyl Platform 24 Cape Town Station Cape Town 8001 South Africa

ISBN: (纸本)9781450321198

Cloud computing is becoming popular and many organizations are considering the adoption of cloud computing because of its promise of convenient, on demand network access to a shared pool of configurable computing resources such as networks, servers, storage, applications, and services that can be rapidly provisioned and released with minimal management effort or service provider interaction [22]. Although Cloud computing has many benefits and has the ability to increase an organizations return on investment, there are many issues such as ethical issues, security issues, data lock-in, lack of standardization, customization, technology bottlenecks, strategy issues etc. which are preventing managements of organizations from adopting cloud computing. As a result of this, it is important for managements of these organizations to be aware of the issues with cloud computing that could affect their implementation success. In order to identify the issues and propose ways to resolve these issues, this paper discusses the different management issues with cloud computing that have been identified by literature and suggests possible ways to resolve them. This paper also suggests that proper investigation into these issues and how to resolve them will increase management's confidence in cloud computing and ensure successful adoption and implementation of cloud computing. © 2013 ACM.

关键词： Cloud security

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The study of distance education system based on cloud computing and resource integration

The study of distance education system based on cloud comput...

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2014 International conference on Manufacturing technology and Electronics applications, ICMTEA 2014

作者： Yan, Wang Tianjin Radio and TV University No.1 Yingshui Road Nankai District Tianjin China

ISBN: (纸本)9783038353287

China's distance education [1], has great development prospects,based on the vast land area and a large population of Chinese, but there are still many deficiencies. The presence of existing distance education system has high hardware and software requirements and resource duplication. At the same time, the distance education system expansion capacity is weak and configurable is poor and so on. Processing power and unlimited storage capacity of cloud computing is an efficient. Resource integration can ensure the dynamic characteristics of resources, and enhance the advantages of resources. This paper presents the study of distance education system based on cloud computing and resource integration, which can integrate the information resources of teaching, improve resource utilization, but can also enhance the teaching level. And then provide a broad platform for the development of distance education. © (2014) Trans Tech Publications, Switzerland.

关键词： Distance education

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Developing a fast, energy-efficient carry skip adder with configurable delay extension utilizing the Han Carlson adder 15

Developing a fast, energy-efficient carry skip adder with co...

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15th International conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Shyamsundar, B. Venkateswara, R. Kumar, H.Pavan Kumar, H. Shree Madanapalli Institute Of Technology And Science Electronics And Communication Engineering Andhra Pradesh Madanapalle India

ISBN: (纸本)9798350370249

This paper introduces a novel Developing a fast, energy-efficient carry skip adder with configurable delay extension utilizing the Han Carlson adder, leveraging Han Carlson adder algorithm. Traditional carry skip adders are renowned for their ability to mitigate propagation delays associated with carry signals in conventional adders [1]. The Han Carlson adder further refines this approach, improving efficiency. Moreover, the inclusion of a variable latency extension empowers the adder to dynamically adjust its operating speed to suit varying computational requirements. The primary objective of this design is to strike a balance between speed and energy efficiency, rendering it applicable across a broad spectrum of applications [2]. The paper meticulously presents and analyzes the design and implementation details of this advanced architecture. Experimental results underscore its superior performance compared to existing adder architectures, validating its efficacy and potential impact on diverse computational domains. © 2024 IEEE.

关键词： adder architectures carry skip adder efficiency energy-efficient Han Carlson adder High speed parallel adder propagation delays variable latency variable latency extension

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Importance of cloud deployment model and security issues of software as a service (SaaS) for cloud computing 1

Importance of cloud deployment model and security issues of ...

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1st International conference on Applied Machine Learning, ICAML 2019

作者： Nowrin, Itisha Nowrin Khanam, Fahima Khanam Department of Computer Science and Engineering Daffodil International University Dhaka Bangladesh Department of Computer Science and Engineering Bangladesh University of Business and Technology Dhaka Bangladesh

ISBN: (纸本)9781728139081

Cloud computing, now-a-days has become the jargon in the industry of IT. It is a model that gives worldwide access to shared pools of configurable resources over the internet. That means it run several applications or programs at the same time on more than one computer. The nature and usage of the cloud computing are developing rapidly both virtually and in reality. It is making things easier for the user of internet by many of its attractive features but these features, have not just only challenged the existing security system, but have also revealed new security issues. In this paper the deployment of cloud models are discussed. The cloud models are deployed as public cloud, private cloud and hybrid cloud. Each of these models have their own advantages and disadvantages. Cloud also provides some services like software as a service (SaaS), Platform as a service (PaaS), Infrastructure as a service (IaaS). This paper is an insightful analysis of the features as well as the securities challenges of Software as a Service (SaaS) for cloud computing. © 2019 IEEE.

关键词： Application programs

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10th IFIP WG 6.1 International conference on Distributed applications and Interoperable Systems, DAIS 2010

10th IFIP WG 6.1 International Conference on Distributed App...

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10th IFIP WG 6.1 International conference on Distributed applications and Interoperable Systems, DAIS 2010

ISBN: (纸本)3642136443

The proceedings contain 19 papers. The special focus in this conference is on Ubiquitous services and applications, Grid computing, Sensor networks, Context awareness, Service orientation, Distributed fault tolerant controllers, Cloud and cluster computing, Adaptive and (re)configurable systems and Collaborative systems. The topics include: RESTful integration of heterogeneous devices in pervasive environments, hosting and using services with QoS guarantee in self-adaptive service systems, validating evolutionary algorithms on volunteer computing grids, a reconfiguration language for virtualized grid infrastructures, distributed object-oriented programming with RFID technology, WISeMid: middleware for integrating wireless sensor networks and the internet, structured context prediction: a generic approach, experiments in model driven composition of user interfaces, service discovery in ubiquitous feedback control loops, qos self-configuring failure detectors for distributed systems, distributed fault tolerant controllers, automatic software deployment in the azure cloud, G2CL: a generic group communication layer for clustered applications, dynamic composition of cross-organizational features in distributed software systems, co-ordinated utility-based adaptation of multiple applications on resource-constrained mobile devices, gradienTv: market-based P2P live media streaming on the gradient overlay and collaborative ranking and profiling: exploiting the wisdom of crowds in tailored web search.

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A configurable Hardware Architecture for Runtime Application of Network Calculus 17th

A Configurable Hardware Architecture for Runtime Application...

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17th IFIP WG 10.3 International conference on Network and Parallel computing, NPC 2020

作者： Hu, Xiao Lu, Zhonghai School of Computer National University of Defense Technology Changsha China KTH Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9783030794774

Network Calculus has been a foundational theory for analyzing and ensuring Quality-of-Service (QoS) in a variety of networks including Networks on Chip (NoCs). To fulfill dynamic QoS requirements of applications, runtime application of network calculus is essential. However, the primitive operations in network calculus such as arrival curve, min-plus convolution and min-plus deconvolution are very time consuming when calculated in software because of the large volume and long latency of computation. For the first time, we propose a configurable hardware architecture to enable runtime application of network calculus. It employs a unified pipeline that can be dynamically configured to efficiently calculate the arrival curve, min-plus convolution, and min-plus deconvolution at runtime. We have implemented and synthesized this hardware architecture on a Xilinx FPGA platform to quantify its performance and resource consumption. Furthermore, we have built a prototype NoC system incorporating this hardware for dynamic flow regulation to effectively achieve QoS at runtime. © 2021, IFIP International Federation for Information Processing.

关键词： Quality of service

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CHIP-KNN: A configurable and High-Performance K-Nearest Neighbors Accelerator on Cloud FPGAs

CHIP-KNN: A Configurable and High-Performance K-Nearest Neig...

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19th International conference on Field-Programmable technology (ICFPT)

作者： Lu, Alec Fang, Zhenman Farahpour, Nazanin Shannon, Lesley Simon Fraser Univ Burnaby BC Canada Univ Calif Los Angeles Los Angeles CA USA

ISBN: (纸本)9781665423021

The k-nearest neighbors (KNN) algorithm is an essential algorithm in many applications, such as similarity search, image classification, and database query. With the rapid growth in the dataset size and the feature dimension of each data point, processing KNN becomes more compute and memory hungry. Most prior studies focus on accelerating the computation of KNN using the abundant parallel resource on FPGAs. However, they often overlook the memory access optimizations on FPGA platforms and only achieve a marginal speedup over a multi-thread CPU implementation for large datasets. In this paper, we design and implement CHIP-KNN-an HLS-based, configurable, and high-performance KNN accelerator-which optimizes the off-chip memory access on cloud FPGAs with multiple DRAM or HBM (high-bandwidth memory) banks. CHIP-KNN is configurable for all essential parameters used in the algorithm, including the size of the search dataset, the feature dimension of each data point, the distance metric, and the number of nearest neighbors - K. To optimize its performance, we build an analytical performance model to explore the design space and balance the computation and memory access performance. Given a user configuration of the KNN parameters, our tool can automatically generate the optimal accelerator design on the given FPGA platform. Our experimental results on the Nimbix cloud computing platform show that: Compared to a 16-thread CPU implementation, CHIP-KNN on the Xilinx Alveo U200 FPGA hoard with four DRAM banks and 11280 FPGA board with IIBM achieves an average of 7.5x and 19.8x performance speedup, and 6.1x and 16.0x performance/dollar improvement.

关键词： Nearest neighbor search

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Design of an Integrative System for configurable Exergames Targeting the Senior Population 1st

Design of an Integrative System for Configurable Exergames T...

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1st International conference on Human Systems Engineering and Design (IHSED) - Future Trends and applications

作者： Paulino, Teresa Munoz, John Bermudez, Sergi Cameirao, Monica S. Univ Madeira Fac Ciencias Exatas & Engn Campus Univ Penteada P-9020105 Funchal Portugal Univ Madeira Madeira Interact Technol Inst Polo Cient & Tecnol Madeira Floor 2 P-9020105 Funchal Portugal

ISBN: (纸本)9783030020538;9783030020521

Physical activity plays a key role in the prevention and delay of health problems associated with sedentarism in the senior population. configurable exergames that can be adapted to fit different needs have been proposed to address this issue because they are fun and enjoyable while promoting physical exercise. This paper describes the design process of an integrative system for Exergaming targeting the senior population that combines human-centred and software engineering methods. An initial requirements elicitation was carried out involving 12 health professionals. This resulted in a list of 110 design requirements, such as customization of games and activities, visualization of historical data, management of plans and sessions, and automatic recommendation of games. The software design was developed using the Unified Modelling Language (UML). Finally, we present two iterations with humancentred techniques, namely, card sorting and paper prototype evaluations, which will serve as basis for future implementations.

关键词： Human-centred design Integrative system engineering Human computer interaction Design for health professionals Exergaming system

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Quality Tunable Approximate Adder for Low Energy Image Processing applications 26

Quality Tunable Approximate Adder for Low Energy Image Proce...

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26th IEEE International conference on Electronics, Circuits and Systems (ICECS)

作者： Jha, Chandan Kumar Nandi, Ankita Mekie, Joycee Indian Inst Technol Gandhinagar Dept Elect Engn Ahmadabad Gujarat India

ISBN: (纸本)9781728109961

In this paper, we present energy-efficient Tunable Approximate Adders (TAAs) based on power-gating. We propose two TAA designs: TAA1 and TAA2. TAAs are runtime configurable and are bit-tunable to support varying degrees of approximation with maximum bounded error. TAA designs have been implemented using UMC 65nm technology. On average, a single-bit TAA1 and TAA2 consume 15% and 47% lesser energy as compared to a single-bit exact mirror adder respectively. TAA1 is relatively lesser erroneous but consumes more energy as compared to TAA2. We also applied TAA1 and TAA2 on image processing applications: image addition, mean filtering and Laplacian filtering on multiple images. We have studied the trade-off between energy consumption and output quality by varying the number of approximate bits for the aforementioned applications. For TAA1 at 4-bit approximation, the average PSNR and average SSIM were 32.79 and 0.875 respectively with an energy saving of 6.67%. For TAA2 at 4-bit approximation, the average PSNR and average SSIM were 28.37 and 0.88 respectively with an energy saving of 28.9%.

关键词： approximate computing bounded error runtime configurability bit-tunability image processing approximate adders

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