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Taming Extreme Heterogeneity via Machine Learning based Design of Autonomous Manycore Systems

Taming Extreme Heterogeneity via Machine Learning based Desi...

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International conference on Hardware/Software Codesign and System Synthesis (CODES)

作者： Paul Bogdan Fan Chen Aryan Deshwal Janardhan Rao Doppa Biresh Kumar Joardar Hai Helen Li Shahin Nazarian Linghao Song Yao Xiao University of Southern California Duke University Washington State University

To avoid rewriting software code for new computer architectures and to take advantage of the extreme heterogeneous processing, communication and storage technologies, there is an urgent need for determining the right amount and type of specialization while making a heterogeneous system as programmable and flexible as possible. To enable both programmability and flexibility in the heterogeneous computing era, we propose a novel complex network inspired model of computation and efficient optimization algorithms for determining the optimal degree of parallelization from old software code. This mathematical framework allows us to determine the required number and type of processing elements, the amount and type of deep memory hierarchy, and the degree of reconfiguration for the communication infrastructure, thus opening new avenues to performance and energy efficiency. Our framework enables heterogeneous manycore systems to autonomously adapt from traditional switching techniques to network coding strategies in order to sustain on-chip communication in the order of terabytes. While this new programming model enables the design of self-programmable autonomous heterogeneous manycore systems, a number of open challenges will be discussed.

关键词： Task analysis Computational modeling Machine learning Mathematical model Memory management programming

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Dynamic Distributed Antenna Systems: A Transitional Solution for CRAN Implementation

Dynamic Distributed Antenna Systems: A Transitional Solution...

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ieee Global Telecommunications conference (GC Wkshps)

作者： Schwarz, Stefan Tech Univ TU Wien Inst Telecommun Christian Doppler Lab Dependable Wireless Connect Vienna Austria

ISBN: (纸本)9781538649206

Cloud radio access network (CRAN) architectures promise improved scalability of future mobile networks, both in terms of network capacity as well as capital expenditure for mobile network operators. Yet, the transition towards CRAN with fully virtualized base band units (BBUs) implemented in the cloud is no minor step for network operators, since most of the existing base band processing hardware in already deployed macro base stations (BSs) becomes outdated. A gradual transition towards CRAN can be facilitated by initially reusing existing BBUs in macro BSs and augmenting them with additional remote radio units (RRUs), which are spatially distributed in the network coverage area and can be freely associated to any macro BS over a reconfigurable front-haul network. In this paper, we consider optimal allocation of RRUs amongst BBUs, which are implemented in existing macro BSs. We assume that the network of macro BSs provides a basic coverage layer by implementing the control-plane of the mobile network (e.g. at low GHz), whereas RRUs provide on-demand network capacity through the user-plane (e.g. in the millimeter wave band).

关键词： cloud RAN CRAN mixed integer programming relaxation optimization control/user-plane splitting

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An Implementation of Software Defined network with Raspberry Pi 26

An Implementation of Software Defined Network with Raspberry...

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26th ieee Signal Processing and Communications Applications conference (SIU)

作者： Babayigit, Bilal Karakaya, Sinan Ulu, Banu Erciyes Univ Bilgisayar Muhendisligi Bolumu Kayseri Turkey Erciyes Univ Fen Bilimleri Enstitusu Kayseri Turkey

ISBN: (纸本)9781538615010

In traditional networking architecture, for each problem a specific protocol is dedicated to network devices and these devices are configured manually. Since they are hardware-based, the implementation of new ideas and technologies to these devices is very difficult. However, today's increasing use of smartphones and other mobile data devices has increased the data traffic, and with the addition of service diversity and the needs of users, the existing network structure has become much more complex. Software Defined networks (SDN) is a new network paradigm that allows a programmable central controller mechanism which separates the control plane from the data plane. With the advantage of a centralized control mechanism, SDN ensures that network structures can respond more quickly to current demands, be more flexible and reprogrammable. In addition, all these processes are implemented at a lower cost compared to traditional networking architecture. To evaluate the performance of SDN architectures, testbeds are used by researchers. In this paper, a small-scale and cost-effective SDN testbed is designed and implemented. The testing environment is realized using Raspberry Pi 3, Floodlight and open vSwitch. Controller performance has been observed with the MACtracker application.

关键词： Software Defined networking Raspberry Pi 3 Floodlight Testbed

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An Energy-driven network Function Virtualization for Multi-domain Software Defined networks

An Energy-driven Network Function Virtualization for Multi-d...

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ieee conference on Computer Communications Workshops, INFOCOM Wksps

作者： Kuljeet Kaur Sahil Garg Georges Kaddoum François Gagnon Neeraj Kumar Syed Hassan Ahmed Electrical Engineering Department École de technologie supérieure Montréal Canada CSED Thapar Institute of Engineering & Technology Patiala Punjab India Department of Computer Science Georgia Southern University Statesboro GA USA

network Functions Virtualization (NFV) in Software Defined networks (SDN) emerged as a new technology for creating virtual instances for smooth execution of multiple applications. Their amalgamation provides flexible and programmable platforms to utilize the network resources for providing Quality of Service (QoS) to various applications. In SDN-enabled NFV setups, the underlying network services can be viewed as a series of virtual network functions (VNFs) and their optimal deployment on physical/virtual nodes is considered a challenging task to perform. However, SDNs have evolved from single-domain to multi-domain setups in the recent era. Thus, the complexity of the underlying VNF deployment problem in multi-domain setups has increased manifold. Moreover, the energy utilization aspect is relatively unexplored with respect to an optimal mapping of VNFs across multiple SDN domains. Hence, in this work, the VNF deployment problem in multi-domain SDN setup has been addressed with a primary emphasis on reducing the overall energy consumption for deploying the maximum number of VNFs with guaranteed QoS. The problem in hand is initially formulated as a “Multi-objective Optimization Problem” based on Integer Linear programming (ILP) to obtain an optimal solution. However, the formulated ILP becomes complex to solve with an increasing number of decision variables and constraints with an increase in the size of the network. Thus, we leverage the benefits of the popular evolutionary optimization algorithms to solve the problem under consideration. In order to deduce the most appropriate evolutionary optimization algorithm to solve the considered problem, it is subjected to different variants of evolutionary algorithms on the widely used MOEA framework (an open source java framework based on multi-objective evolutionary algorithms). The experimental results demonstrate that the proposed scheme achieves better results in comparison to the e-Nen-dominated Sorting Genetic Algor

关键词： Energy consumption Cloud computing Software Optimization Quality of service Linear programming conferences

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Tracking network flows with P4

Tracking network flows with P4

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ieee/ACM conference on Innovating the network for Data-Intensive Science (INDIS)

作者： Hill, Joseph Aloserij, Mitchel Grosso, Paola Univ Amsterdam Syst & Network Engn Grp SNE Amsterdam Netherlands Univ Amsterdam Informat Bachelor Amsterdam Netherlands

ISBN: (纸本)9781728101941

Tracking flows within a single device, as well as tracking the full path a flow takes in a network are core components in securing networks. Malicious traffic can be easily identified and its source blocked. Traditional methods have performance and precision shortcomings, while new programmable devices open up new possibilities. In this paper we present methods based on the P4 programming language that allow to track flows in a device, as well methods toward full path tracking. A core component of this work are Bloom filters, which we have implemented fully in P4. To validate our approach and implementation we have carried a study in a specific use case, namely the detection of SYN attacks.

关键词： Programmable networks P4 Bloom filters SYN attacks

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Access Delay Analysis in String Multi-hop Wireless network Under Jamming Attack 18th

Access Delay Analysis in String Multi-hop Wireless Network U...

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18th International conference on Algorithms and architectures for Parallel Processing (ICA3PP)

作者： Liu, Jianwei Fan, Jianhua Army Engn Univ PLA Nanjing 210007 Peoples R China Natl Univ Def Technol Nanjing 210007 Peoples R China

ISBN: (纸本)9783030050634;9783030050627

Wireless networks can be easily attacked by jammers due to their shared nature and open access to the wireless medium. Jamming attack can degrade the network performance significantly by emitting useless signals to the wireless channel, i.e. the access delay of nodes' packets will increase under jamming scenarios. In order to analyze the impact of jamming attack, this paper investigates the access delay of nodes' packets in a string multi-hop wireless network. Specially, a ring-based model is put forward to calculate the existing probability of the jammer based on the stochastic geometry theory. Then, the collision probabilities of the nodes in different locations are derived while considering the impact of neighbor nodes and jammers. At last, the access delay of the packets under ieee 802.11 protocols is obtained. A series of numerical tests are conducted to illustrate the impact of different jamming probabilities or jammer densities on the access delay.

关键词： ieee 802.11 Access delay String wireless network Jamming attack

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On-Chip Deep Neural network Storage with Multi-Level eNVM 18

On-Chip Deep Neural Network Storage with Multi-Level eNVM

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55th ACM/ESDA/ieee Design Automation conference (DAC)

作者： Donato, Marco Reagen, Brandon Pentecost, Lillian Gupta, Udit Brooks, David Wei, Gu-Yeon Harvard Univ Cambridge MA 02138 USA

ISBN: (纸本)9781450357005

One of the biggest performance bottlenecks of today's neural network (NN) accelerators is off-chip memory accesses [11]. In this paper, we propose a method to use multi-level, embedded nonvolatile memory (eNVM) to eliminate all off-chip weight accesses. The use of multi-level memory cells increases the probability of faults. Therefore, we co-design the weights and memories such that their properties complement each other and the faults result in no noticeable NN accuracy loss. In the extreme case, the weights in fully connected layers can be stored using a single transistor. With weight pruning and clustering, we show our technique reduces the memory area by over an order of magnitude compared to an SRAM baseline. In the case of VGG16 (130M weights), we are able to store all the weights in 4.9 mm(2), well within the area allocated to SRAM in modern NN accelerators [6].

关键词： Artificial neural networks Random access memory Current measurement Transistors System-on-chip programming Flash memories

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Intra-node Resource Isolation for SFC with SR-IOV 7

Intra-node Resource Isolation for SFC with SR-IOV

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ieee 7th International conference on Cloud networking (CloudNet)

作者： Bauer, Simon Raumer, Daniel Emmerich, Paul Carle, Georg TUM Dept Informat Chair Network Architectures & Serv Garching Germany

ISBN: (纸本)9781538668313

Single Root I/O Virtualization (SR-IOV) is intended to provide simultaneous native access to network interface cards (NIC) from multiple virtual machines or applications. For this, SR-IOV offloads packet switching from software to hardware. We use SR-IOV outside its original purpose and establish a chaining infrastructure between virtual Service Functions. Thus, resources to provide chaining are isolated by the NIC. We compare Service Function Chains based on SR-IOV to fully software-based Service Function Chains and survey how shifting workload from the CPU to the NIC affects performance. Furthermore, we analyze the impact of virtual PCIe functions, which are required for the use of SR-IOV, on performance. Our study provides a detailed performance evaluation of Service Function Chains implemented with open vSwitch and DPDK. The performance evaluation is based on comparative measurements on commodity hardware including profiling of the CPU and PCIe bus. We model the resource constraints of both implementation approaches to specify performance bottlenecks and to determine a scenario's maximum throughput.

关键词： SFC SR-IOV packet I/O virtual PCIe function performance guarantees resource isolation

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Emerging Distributed programming Paradigm for Cyber-Physical Systems over LoRaWANs

Emerging Distributed Programming Paradigm for Cyber-Physical...

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ieee Global Telecommunications conference (GC Wkshps)

作者： Pianini, Danilo Elzanaty, Ahmed Giorgetti, Andrea Chiani, Marco Univ Bologna Bologna Italy CNR IEIIT Rome Italy CNIT Pisa Italy

ISBN: (纸本)9781538649206

The growing interest around the cyber-physical systems (CPS), populated with open systems counting myriads of devices, is calling for new technologies both in telecommunications and software engineering with full integration among them. One of the most promising wireless communication technologies for the CPS is LoRaWAN, which enables long range transmission with low power consumption. Typical application scenarios include smart-homes, smart-cities, precision agriculture, and intelligent transportation. On the software side, novel paradigms are emerging to dominate the complexity introduced by the CPS with a large number of spatially distributed devices. Among them, aggregate computing is gaining traction, for it enables expressing the behavior of aggregates of devices by considering their ensemble as a single computational entity, allowing expressive space-time computations. In this paper, we introduce a software architecture which allows aggregate programming software to execute on a network of LoRa-communicating devices. We also provide an open source prototype implementing such architecture, which we use to study the current limitations of existing aggregate programming interpreters in resource constrained scenarios. We conclude by drawing recommendations for developing such interpreters in order to pave the way to a more power- and data-efficient design.

关键词： Aggregates programming Servers Software Downlink Protocols Computer architecture

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DSC: Dense-Sparse Convolution for Vectorized Inference of Convolutional Neural networks

DSC: Dense-Sparse Convolution for Vectorized Inference of Co...

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ieee/CVF conference on Computer Vision and Pattern Recognition Workshops

作者： Alexander Frickenstein Manoj Rohit Vemparala Christian Unger Fatih Ayar Walter Stechele BMW Group Autonomous Driving Technical University Munich Electrical and Computer Engineering

ISBN: (数字)9781728125060

ISBN: (纸本)9781728125077

The efficient applications of Convolutional Neural networks (CNNs) in automotive-rated and safety critical hardware-accelerators require an interplay of DNN design optimization, programming techniques and hardware resources. Ad-hoc pruning would result in irregular sparsity and compression, leading to in very inefficient real world applications. Therefore, the proposed methodology, called Dense-Sparse Convolution, makes use of the right balance between pruning regularity, quantization and the underlying vectorized hardware. Different word-length compute units, e.g. CPU, are used for low-latency inference of the sparse CNNs. The proposed open-source~1 CPU-kernel is enabled to scale along with the vector word-length and the number of cores.

关键词： Convolution central processing units Neural network core Differential scanning calorimetry tree surgery programming TECHNIQUES hardware resource Safety critical

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