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Scalable Specialization: architectures, Interfaces, & Applications 20

Scalable Specialization: Architectures, Interfaces, & Applic...

引用

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

作者： Adve, Sarita, V Univ Illinois Urbana IL 61801 USA

ISBN: (纸本)9781450380751

The end of Dennard scaling and Moore's law is driving transformational change in hardware, leading to a rise in specialized, domain-specific heterogeneous systems. There is an accompanying explosion of sophisticated applications deployed at the edge on diverse heterogeneous devices that interface directly with the end-user. Realizing the full potential of these trends will require new technologies for scalable specialization and a change in how we conduct systems research. First, we must move from evaluating single application components to end-to-end systems, replacing conventional power-performance-area metrics with those that capture end-user perception. Second, end-to-end system design requires moving from a focus on single accelerators to heterogeneous parallel systems with simultaneously communicating diverse accelerators, requiring scalable and specializable accelerator communication interfaces. Third, effective programmability of such systems requires new hardware-software interfaces designed to represent parallelism, heterogeneity, and communication. To illustrate the above shift, I will describe ILLIXR, the Illinois Extended Reality (XR) testbed, the first complete open-source XR system for enabling end-to-end systems research with a rich and demanding edge application domain; Spandex, a flexible and scalable accelerator communication interface that enables each accelerator to specialize for its coherence, consistency, and data movement requirements; and Heterogeneous Parallel Virtual Memory (HPVM), a virtual ISA and compiler IR designed from the ground up as a hardware-software interface for heterogeneous parallel systems. I will summarize how these technologies are enabling ongoing projects towards scalable specialization.

关键词： Specialization heterogeneous parallelism accelerators extended reality hardware-software interfaces communication coherence

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Research on 5G Microservices Capability open Architecture and Deterministic Bearing Technology

Research on 5G Microservices Capability Open Architecture an...

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International conference on Communication Technology (ICCT)

作者： Ou Xinjian Liao Jingjing Chen Chaofeng You Zilin Li Xiang Hu Shukai Wuhan Maritime Communication Research Institute Wuhan China School of Microelectronics and Communication Engineering Chongqing University Chongqing China School of Marine Science and Technology Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781665432078

The flexible and open architecture of 5G networks needs to accommodate a variety of services. Therefore, the micro service 5G capability open architecture launched by the current industry requires to establish the technical route of integration with the industrial Internet, and further requires to solve the adaptability problem between the packet scheduling mechanism of UPF on the 5G user plane and the deterministic bearing of the industrial Internet. To this end, this paper firstly defines the open model of 5G micro-service capability by using the object-oriented modeling method of industrial Internet, namely: according to IEC61850, common services such as clock and location inside 5G network are defined as public data class, thus constituting microservices open to AMF and SMF inside 5G and VNF calls outside 5G, which improves the reuse and consistency of 5G services. Secondly, the pseudo time synchronization flow scheduling algorithm of UPF is proposed to realize the matching between the “time” deterministic service of industrial Internet and the “asynchronous” packet scheduling carried by UPF switches, which ensures the deterministic and smooth service bearer of industrial Internet. The simulation experiment shows that the proposed algorithm can improve the time accuracy of 5G business, and improve the time, punctuality and coordination of user plane bearing under the micro service 5G capability open architecture.

关键词： Industries Adaptation models 5G mobile communication Scheduling algorithms Object oriented modeling Microservice architectures Data models

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Graph Neural network Based Collaborative Filtering for API Usage Recommendation

Graph Neural Network Based Collaborative Filtering for API U...

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ieee International conference on Software Analysis, Evolution and Reengineering (SANER)

作者： Chunyang Ling Yanzhen Zou Bing Xie Key Laboratory of High Confidence Software Technologies Ministry of Education China Peking University Beijing China

Developers often face the need to find out how to use different APIs suitable for their purposes. API usage recommendation has been shown very useful to facilitate the process of software reuse and daily development. Previous approaches mainly use statistical models and collaborative filtering(CF) techniques to improve the accuracy of recommendation. However, they fail to exploit the high-order connectivity of the interaction of API calls and the structural information of software projects. In this paper, we formulate this problem in terms of the graph-based collaborative filtering recommendation. We propose a novel approach for API usage recommendation, named GAPI, which uses graph neural networks (GNNs) to capture the high-order collaborative signals from API calls. Besides, GAPI integrates project structures into the graph and incorporates text attributes in the network, which are helpful to represent the program semantics. We evaluate our approach on large-scale open-source repositories collected from Github and Maven Central. The experimental results demonstrate that our approach is effective and outperforms the state-of-the-art approaches in terms of success rate and accuracy.

关键词： Collaborative filtering Semantics Collaboration Tools programming Graph neural networks Task analysis

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INetCEP: In-network Complex Event Processing for Information-Centric networking

INetCEP: In-Network Complex Event Processing for Information...

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ACM/ieee Symposium on architectures for networking and Communications Systems (ANCS)

作者： Luthra, Manisha Koldehofe, Boris Hoechst, Jonas Lampe, Patrick Rizvi, Ali Haider Kundel, Ralf Freisleben, Bernd Tech Univ Darmstadt Darmstadt Germany Univ Marburg Marburg Germany

ISBN: (纸本)9781728143873

Emerging network architectures like Information-Centric networking (ICN) offer simplicity in the data plane by addressing named data. Such flexibility opens up the possibility to move data processing inside network elements for high-performance computation, known as in-network processing. However, existing ICN architectures are limited in terms of (i) in-network processing and (ii) data plane programming abstractions. Such architectures can benefit from Complex Event Processing (CEP), an in-network processing paradigm to efficiently process data inside the data plane. Yet, it is extremely challenging to integrate CEP because the current communication model of ICN is limited to consumer-initiated interaction that comes with significant overhead in number of requests to process continuous data streams. In contrast, a change to producer-initiated interaction, as favored by CEP, imposes severe limitations for request-reply interactions. In this paper, we propose an in-network CEP architecture, INETCEP that supports unified interaction patterns (consumer-and producer-initiated). In addition, we provide a CEP query language and facilitate CEP operations while increasing the range of applications that can be supported by ICN. We provide an open source implementation and evaluation of INETCEP over an ICN architecture, Named Function networking, and two applications: energy forecasting in smart homes and a disaster scenario.

关键词： Complex Event Processing Information-Centric networking In-network Processing

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A Dynamic Task-based D3Q19 Lattice-Boltzmann Method for Heterogeneous architectures 27

A Dynamic Task-based D3Q19 Lattice-Boltzmann Method for Hete...

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27th Euromicro International conference on Parallel, Distributed and network-Based Processing (PDP)

作者： Lima, Joao V. F. Freytag, Gabriel Pinto, Vinicius Garcia Schepke, Claudio Navaux, Philippe O. A. Univ Fed Rio Grande do Sul Porto Alegre RS Brazil Univ Fed Santa Maria Santa Maria RS Brazil Univ Fed Pampa Campus Alegrete Alegrete Brazil

ISBN: (纸本)9781728116440

Nowadays computing platforms expose a significant number of heterogeneous processing units such as multicore processors and accelerators. The task-based programming model has been a de facto standard model for such architectures since its model simplifies programming by unfolding parallelism at runtime based on data-flow dependencies between tasks. Many studies have proposed parallel strategies over heterogeneous platforms with accelerators. However, to the best of our knowledge, no dynamic task-based strategy of the Lattice-Boltzmann Method (LBM) has been proposed to exploit CPU+GPU computing nodes. In this paper, we present a dynamic task-based D3Q19 LBM implementation using three runtime systems for heterogeneous architectures: OmpSs, StarPU, and XKaapi. We detail our implementations and compare performance over two heterogeneous platforms. Experimental results demonstrate that our task-based approach attained up to 8.8 of speedup over an openMP parallel loop version.

关键词： Task analysis Runtime Graphics processing units Computational modeling Parallel processing programming Computer architecture

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Integration of Communication networks and Control Systems Using a Slotted Transmission Classification Model 16

Integration of Communication Networks and Control Systems Us...

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16th ieee Annual Consumer Communications and networking conference (CCNC)

作者： Linsenmayer, Steffen Carabelli, Ben W. Duerr, Frank Falk, Jonathan Allgoewer, Frank Rothermel, Kurt Univ Stuttgart Inst Syst Theory & Automat Control D-70569 Stuttgart Germany Univ Stuttgart Inst Parallel & Distributed Syst D-70569 Stuttgart Germany

ISBN: (纸本)9781538655535

In this paper, we present a communication abstraction for networked Control Systems that is characterized by a slotted transmission classification model. We discuss, how such a model can be implemented over local area networks by using ieee Time Sensitive networking methods. Furthermore, it is shown how asymptotic stability can be analyzed for linear systems that communicate over such a network. Based on the stability result, a controller design procedure is derived that takes the information captured in the network model into account. Further topics and related open problems that are implicated by the proposed model are briefly discussed as an outlook.

关键词： Cyber-Physical networks network architectures and Protocols Control Design and architectures Time-Sensitive networking Stability

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Poster: Space and Time Optimal DNN Primitive Selection with Integer Linear programming 28

Poster: Space and Time Optimal DNN Primitive Selection with ...

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28th International conference on Parallel architectures and Compilation Techniques (PACT)

作者： Wen, Yuan Anderson, Andrew Radu, Valentin O'Boyle, Michael F. P. Gregg, David Trinity Coll Dublin Dublin Ireland Univ Edinburgh Edinburgh Midlothian Scotland

ISBN: (纸本)9781728136134

Convolutional neural networks (CNNs) are used in many applications, from industrial robotics to biometric identification on mobile devices. But they can be too resource-hungry for mobile and embedded devices with tightly constrained memory and energy budgets. We propose an aheadof-time primitive selection for CNNs, based on integer linear programming (ILP). Under a tight memory budget, our ILP solver selects the optimal primitive for each layer such that the entire network is optimized for execution time subject to a memory budget, or vice versa. Our method yields significant speedup and memory reduction compared to existing methods.

关键词： neural network optimization computing operators primitive selection optimal convolutional layer

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A Scalable System for Bundling Online Social network Mining Research 7

A Scalable System for Bundling Online Social Network Mining ...

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7th International conference on Social networks Analysis, Management and Security (SNAMS)

作者： Burchard, Luk Schroeder, Daniel Thilo Pogorelov, Konstantin Becker, Soeren Dietrich, Emily Filkukova, Petra Langguth, Johannes Tech Univ Berlin Berlin Germany Simula Metropolitan Ctr Digital Engn Oslo Norway Simula Res Lab Fornebu Norway

ISBN: (纸本)9780738111803

Online social networks such as Facebook and Twitter are part of the everyday life of millions of people. They are not only used for interaction but play an essential role when it comes to information acquisition and knowledge gain. The abundance and detail of the accumulated data in these online social networks open up new possibilities for social researchers and psychologists, allowing them to study behavior in a large test population. However, complex application programming interfaces (API) and data scraping restrictions are, in many cases, a limiting factor when accessing this data. Furthermore, research projects are typically granted restricted access based on quotas. Thus, research tools such as scrapers that access social network data through an API must manage these quotas. While this is generally feasible, it becomes a problem when more than one tool, or multiple instances of the same tool, is being used in the same research group. Since different tools typically cannot balance access to a shared quota on their own, additional software is needed to prevent the individual tools from overusing the shared quota. In this paper, we present a proxy server that manages several researchers' data contingents in a cooperative research environment and thus enables a transparent view of a subset of Twitter's API. Our proxy scales linearly with the number of clients in use and incurs almost no performance penalties or implementation overhead to further layer or applications that need to work with the Twitter API. Thus, it allows seamless integration of multiple API accessing programs within the same research group.

关键词： OSN Twitter Social network services Mining

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Secure Intelligent Reflecting Surface Assisted MIMO Cognitive Radio Transmission

Secure Intelligent Reflecting Surface Assisted MIMO Cognitiv...

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ieee conference on Wireless Communications and networking

作者： Limeng Dong Hui-Ming Wang Haitao Xiao Jiale Bai School of Information and Communications Engineering Xi’an Jiaotong University Xi’an Ministry of Education Key Lab for Intelligent Networks and Network Security Xi’an Jiaotong University Xi’an

Intelligent reflecting surface (IRS) has been proposed as a very promising technique for beyond 5G and 6G communications. In this paper, we apply IRS to enhance the secure transmission of secondary user in a multi-input multioutput (MIMO) cognitive radio (CR) wiretap channel. Since the study of secure IRS-assisted CR communication is still an open problem, all the existing numerical solutions for enhancing secure communications in non-CR setting as well as non-secure communications in CR setting in the literature fail to this work due to the complicated structure of objective functions as well as the constraints. Therefore, to maximize the secrecy rate of secondary user, an efficient alternating optimization (AO) algorithm is proposed to jointly optimize the transmit covariance at base station and phase shift coefficients at IRS. Simulation results show that our proposed algorithm have fast monotonic convergence as well as better performance on enhancing the secrecy rate than the benchmark schemes.

关键词： Base stations Simulation conferences Benchmark testing Linear programming Cognitive radio MIMO communication

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Dynamic VNF Chains Placement for Mobile IoT Applications

Dynamic VNF Chains Placement for Mobile IoT Applications

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ieee Global Communications conference (ieee GLOBECOM)

作者： Zheng, Gao Tsiopoulos, Anthony Friderikos, Vasilis Kings Coll London Ctr Telecommun Res Dept Engn London WC2R 2LS England

ISBN: (纸本)9781728109626

Empowered by computing at the network edge, data sensed from Internet of Things (IoT) devices can be processed by various IoT applications stored in the nearby cloudlets to reduce the response time between the IoT devices. Together with the recently wide-studied network slicing and network Function Virtualization (NFV) paradigm, IoT edge computing function can satisfy the individual requirements on the flexibility, security as well as accessibility of the IoT applications. Although the significant research effort made on NFV architectures has received remarkable achievements recently, seldom work has put its emphasis on optimizing IoT edge computing when considering it as a service chain. Since edge computing is regarded to play as a critical role in the context of IoT paradigm to enhance network efficiency, we consider in this paper the dynamic VNF service chain allocating optimization for IoT edge computing. To this end, we detail an Integer Linear programming (ILP) framework designed to VNF based IoT edge-chains and propose a heuristic scheme to reduce the computation difficulty for large size problems. At last, the attainable system performance of the proposed scheme has been validated by a wide set of investigations.

关键词： NFV VNF placement 5G networks IoT work-load assignment integer linear programming heuristic algorithm

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