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Fast Convolutional Neural networks with Fine-Grained FFTs 20

Fast Convolutional Neural Networks with Fine-Grained FFTs

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ACM International conference on Parallel architectures and Compilation Techniques (PACT)

作者： Zhang, Yulin Li, Xiaoming Univ Delaware Dept Elect & Comp Engn Newark DE 19716 USA

ISBN: (纸本)9781450380751

The Convolutional Neural networks (CNNs) architecture is one of the most widely used deep learning tools. The execution time of CNNs is dominated by the time spent on the convolution steps. Most CNNs implementations adopt an approach that lowers the convolution into a matrix-based operation through the im2col (image to column) process. The transformed convolution then can be easily parallelized with highly efficient BLAS libraries. The contribution of this paper is that we observe significant but intricately patterned data redundancy in this matrix representation of convolution. This redundancy has not been exploited before to improve the performance of CNNs. In this paper, we analyze the origin of the redundancy generated by the im2col process, and reveal a new data pattern to more mathematically concisely describe the matrix representation for convolution. Based on this redundancy-minimized matrix representation, we implement a FFT-based convolution with finer FFT granularity. It achieves on average 23% and maximum 50% speedup over the regular FFT convolution, and on average 93% and maximum 286% speedup over the Im2col+GEMM method from NVIDIA's cuDNN library, one of the most widely used CNNs libraries. Moreover, by replacing existing methods with our new convolution method in a popular deep-learning programming framework Caffe, we observe on average 74% speedup for multiple synthetic CNNs in closer-to-real-world application scenarios and 25% speedup for a variant of the VGG network.

关键词： convolutional neural network algorithm optimization fast Fourier transform GPU

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Exploration on Informatization Reform of C Language programming Based on Mobile Platform 2

Exploration on Informatization Reform of C Language Programm...

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2nd International conference on Information Science and Education, ICISE-IE 2021

作者： Wang, Fuqiang Hu, Qiang Li, Tao School of Information Science and Technology Qingdao University of Science and Technology Qingdao China College of Electromechanical Engineering Qingdao University of Science and Technology Qingdao China

ISBN: (纸本)9781665438292

The informatization of education and teaching based on mobile platform is the trend of teaching development in colleges and universities. With the research background of "C language programming" course, this paper presents a mature teaching scheme with the help of a mobile platform to carry out the exploration and practice of information teaching reform. The introduction of scientific computing, mathematical physics disciplines or engineering technology fields as information cases in the information teaching is designed. In order to guide students to complete information modeling, grammar structure selection, program design, effectiveness test, etc., Internet+technology to build an information teaching mode is fully applied, the students' participation, independent learning and active exploration ability are improved, and the improvement and promotion of information teaching level in colleges and universities are realized. A series of digital information resources have been constructed along with the exploration of information teaching reform. At the same time, intelligent teaching, open teaching and information teaching are gradually integrated into the teaching of basic courses. © 2021 ieee

关键词： Teaching

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DDoS Attack Detection and Mitigation at SDN Data Plane Layer 2

DDoS Attack Detection and Mitigation at SDN Data Plane Layer

引用

ieee 2nd Global Power, Energy and Communication conference (GPECOM)

作者： Abdulkarem, Huda Saleh Dawod, Ammar Alhrain Univ Coll Informat Engn Dept NetworkEngn Baghada Iraq Alnahrain Univ Coll Informat Engn Dept Network Engn Baghada Iraq

ISBN: (纸本)9781728162645

In the coming future, Software-defined networking (SDN) will become a technology more responsive, fully automated, and highly secure. SDN is a way to manage networks by separate the control plane from the forwarding plane, by using software to manage network functions through a centralized control point. A distributed denial-of-service (DDoS) attack is the most popular malicious attempt to disrupt normal traffic of a targeted server, service, or network The problem of the paper is the DDoS attack inside the SDN environment and how could use SDN specifications through the advantage of open vSwitch programmability feature to stop the attack. This paper presents DDoS attack detection and mitigation in the SDN data-plane by applying a written SDN application in python language, based on the malicious traffic abnormal behavior to reduce the interference with normal traffic. The evaluation results reveal detection and mitigation time between 100 to 150 sec. The work also sheds light on the programming relevance with the open daylight controller over an abstracted view of the network infrastructure.

关键词： SDN DDoS attack openFlow opendaylight

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Media Control at the network Edge 26

Media Control at the Network Edge

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26th conference of open Innovations Association FRUCT

作者： Pencheva, Evelina Atanasov, Ivaylo Velkova, Denitsa Asenov, Ivaylo Tech Univ Sofia Sofia Bulgaria

ISBN: (纸本)9789526924427

Third party session control can be useful in many Internet of Things (IoT) use cases including monitoring and assistance of elderly and mission critical communications. Enhanced session control with media playing, collecting and recording interaction adds value and enables more information to he provided and gathered. The Multi-access Edge Computing (MEC), which brings the cloud computational and storage power at the network edge, can address many IoT use cases. The paper studies the capabilities of exposing media control to MEC applications. MEC Application programming Interfaces that enable third party application to play media message, to collect and record media interactions within ongoing session, are presented. Media control data model is proposed. As a proof of the concept, state models supported by the network and MEC application are presented, formally described and verified.

关键词： Internet of things

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Architecture Proposal for Micro-Learning Application for Learning and Teaching programming Courses 11

Architecture Proposal for Micro-Learning Application for Lea...

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ieee Global Engineering Education conference (ieee EDUCON)

作者： Skalka, Jan Drlik, Martin Obonya, Juraj Capay, Martin Constantine Philosopher Univ Dept Informat Nitra Slovakia

ISBN: (纸本)9781728109305

The paper describes the architecture, processes and issues related to the current phase of the development and pivotal deployment of the microlearning-based web application for improving programming skills and learning other software engineering topics. This application integrates the advantages of microlearning approach, gamification and learning analytics into the existing learning ecosystem and IT infrastructure of the contemporary educational organisation. The main aim of the paper is to review and analyse different parts of the architecture of a modern educational application, describe their main features and unique roles. The necessity to use open standards for storing educational data and its further analysis using learning analytics methods is emphasised. Subsequently, the current version of the developed micro-learning application for learning programming languages is presented. Finally, the first experience with its pivotal deployment as well as the direction of its future development is described in detail.

关键词： micro-learning architecture gamification learning analytics

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P4rt-OVS: programming Protocol-Independent, Runtime Extensions for open vSwitch with P4

P4rt-OVS: Programming Protocol-Independent, Runtime Extensio...

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19th IFIP networking conference (networking)

作者： Osinski, Tomasz Tarasiuk, Halina Chaignon, Paul Kossakowski, Mateusz Orange Labs Warsaw Poland Warsaw Univ Technol Warsaw Poland Isovalent Eindhoven Netherlands

ISBN: (纸本)9783903176287

Virtualized data centers implement overlay networking to provide network isolation. The key component that makes the overlay networking possible is a hypervisor switch, such as open vSwitch (OVS), that is running on each compute node and switches packets to and from virtual machines. Software switches frequently require upgrading and customization of network protocol's stack to introduce novel or domain-specific networking techniques. However, it is still difficult to extend OVS to support new network features as it requires mastery of network protocol design, programming expertise and familiarity with the complex codebase of OVS. Moreover, there is currently no solution that enables the deployment of network features in OVS without recompilation. In this paper, we present P4rt-OVS, an original extension of OVS that enables runtime programming of protocol-independent and stateful packet processing pipelines. It extends the forwarding model of OVS with Berkeley Packet Filter (BPF), bringing a new extensibility mechanism. Moreover, P4rt-OVS comes with a P4-to-uBPF compiler, which allows developers to write data plane programs in the high-level P4 language. Our design results in a hybrid approach that provides P4 programmability without sacrificing the well-known features of OVS. The performance evaluation shows that P4rt-OVS does not introduce significant processing overhead, yet enables runtime protocol extensions and stateful packet processing.

关键词： Programmable data plane P4 Software switch OVS BPF

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Generating Multi-label Adversarial Examples by Linear programming

Generating Multi-label Adversarial Examples by Linear Progra...

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International Joint conference on Neural networks (IJCNN) held as part of the ieee World Congress on Computational Intelligence (ieee WCCI)

作者： Zhou, Nan Luo, Wenjian Lin, Xin Xu, Peilan Zhang, Zhenya Univ Sci & Technol China Sch Comp Sci & Technol Hefei 230027 Anhui Peoples R China Harbin Inst Technol Sch Comp Sci & Technol Shenzhen 518055 Guangdong Peoples R China Anhui Jianzhu Univ Anhui Prov Key Lab Intelligent Bldg & Bldg Energy Hefei 230022 Anhui Peoples R China

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169262

Deep neural networks (DNNs) are used in various domains, such as image classification, natural language processing and face recognition, etc. However, the presence of malicious examples, generated by specific methods, could result in DNNs misclassification. Such maliciously modified examples are called adversarial examples. So far, most work about adversarial examples mainly focuses on the multi-class classification tasks, and only a little work has been done in the field of multi-label classification. In this study, we have proposed a novel algorithm that generates effective multi-label adversarial examples by solving a linear programming problem (MLA-LP). We minimize the l(infinity) norm of distortion while constraining the changes in the label loss of the example after being perturbed. Then, we transform this constrained optimization problem into a linear programming problem for reducing the time cost. In comparison to the existing multi-label classification model attack algorithms, the attack performance of the proposed MLA-LP is found to be competitive, and the adversarial examples generated by MLA-LP have significantly smaller distortions.

关键词： Deep Neural networks Multi-label Classification Adversarial Examples Linear programming

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Benchmarking End-to-end Learning of MIMO Physical-Layer Communication

Benchmarking End-to-end Learning of MIMO Physical-Layer Comm...

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ieee Global Communications conference (GLOBECOM) on Advanced Technology for 5G Plus

作者： Song, Jinxiang Hager, Christian Schroder, Jochen O'Shea, Tim Wymeersch, Henk Chalmers Univ Technol Dept Elect Engn Gothenburg Sweden Chalmers Univ Technol Dept Microtechnol & Nanosci Gothenburg Sweden Virginia Tech Arlington VA USA DeepSig Inc Arlington VA USA

ISBN: (纸本)9781728182988

End-to-end data-driven machine learning (ML) of multiple-input multiple-output (MIMO) systems has been shown to have the potential of exceeding the performance of engineered M IMO transceivers, without any a priori knowledge of communication-theoretic principles. In this work, we aim to understand to what extent and for which scenarios this claim holds true when comparing with fair benchmarks. We study closed-loop MIMO, open-loop MIMO, and multi-user MIMO (MU-MIMO) and show that the gains of ML-based communication in the former two cases can be to a large extent ascribed to implicitly learned geometric shaping and bit and power allocation, not to learning new spatial encoders. For MU-MIMO, we demonstrate the feasibility of a novel method with centralized learning and decentralized executing, outperforming conventional zero-forcing. For each scenario, we provide explicit descriptions as well as open-source implementations of the selected neural-network architectures.

关键词： network architecture

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Free the Bugs: Disclosing Blocking Violations in Reactive programming 20

Free the Bugs: Disclosing Blocking Violations in Reactive Pr...

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20th ieee International Working conference on Source Code Analysis and Manipulation (SCAM)

作者： Dobslaw, Felix Vallin, Morgan Sundstrom, Robin Mid Sweden Univ Dept Comp Sci Ostersund Sweden

ISBN: (纸本)9781728192482

In programming, concurrency allows threads to share processing units interleaving and seemingly simultaneous to improve resource utilization and performance. Previous research has found that concurrency faults are hard to avoid, hard to find, often leading to undesired and unpredictable behavior. Further, with the growing availability of multi-core devices and adaptation of concurrency features in high-level languages, concurrency faults occur reportedly often, which is why countermeasures must be investigated to limit harm. Reactive programming provides an abstraction to simplify complex concurrent and asynchronous tasks through reactive language extensions such as the RxJava and Project Reactor libraries for Java. Still, blocking violations are possibly resulting in concurrency faults with no Java compiler warnings. BlockHound is a tool that detects incorrect blocking by wrapping the original code and intercepting blocking calls to provide appropriate runtime errors. In this study, we seek an understanding of how common blocking violations are and whether a tool such as BlockHound can give us insight into the root-causes to highlight them as pitfalls to developers. The investigated Softwares are Java-based open-source projects using reactive frameworks selected based on high star ratings and large fork quantities that indicate high adoption. We activated BlockHound in the project's test-suites and analyzed log files for common patterns to reveal blocking violations in 7/29 investigated open-source projects with 5024 stars and 1437 forks. A small number of system calls could be identified as root-causes. We here present countermeasures that successfully removed the uncertainty of blocking violations. The code's intentional logic was retained in all validated projects through passing unit-tests.

关键词： BlockHound Blocking-Violations Concurrency Reactive-programming

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Performance optimization on LoRa networks through assigning radio parameters 21

Performance optimization on LoRa networks through assigning ...

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ieee International conference on Industrial Technology (ICIT)

作者： Sallum, Eduardo Pereira, Nuno Alves, Mario Santos, Max UTFPR PG Ponta Grossa Parana Brazil Politecn Porto ISEP IPP Porto Portugal

ISBN: (纸本)9781728157542

Low Power Wide Area networks (LPWAN) enable a growing number of Internet-of-Things (IoT) applications with large geographical coverage, low bit -rate, and long lifetime requirements. LoRa (Long Range) is a well-known LPWAN technology that uses a proprietary Chirp Spread Spectrum (CSS) physical layer, while the upper layers are defined by an open standard - LoRaWAN. In this paper, we propose a simple yet effective method to improve the Quality-of-Service (QoS) of LoRa networks by fine-tuning specific radio parameters. Through a Mixed Integer Linear programming (MILP) problem formulation, we find optimal settings for the Spreading Factor (SF) and Carrier Frequency (CF) radio parameters, considering the network traffic specifications as a whole, to improve the Data Extraction Rate (DER) and to reduce the packet collision rate and the energy consumption in LoRa networks. The effectiveness of the optimization procedure is demonstrated by simulations, using LoRaSim for different network scales. In relation to the traditional LoRa radio parameter assignment policies, our solution leads to an average increase of 6% in DER, and a number of collisions 13 times smaller. In comparison to networks with dynamic radio parameter assignment policies, there is an increase of 5% and 2% of DER, and a number of collisions 11 and 2.5 times smaller than equal-distribution, and random distribution, respectively.

关键词： Internet of Things (IoT) Low -Power Wide Area network (LPWAN) Mixed Integer Linear programming (MILP) LoRaWAN LoRa Simulator (LoRaSim) Optimization

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