A Flexible High Speed Star Network Based on Peer to Peer Links on FPGA

Wang, Chao; Zhang, Junneng; Zhou, Xuehai; Feng, Xiaojing; Wang, Aili

doi:10.1109/ispa.2011.40

Cited by 15 publications

(2 citation statements)

References 14 publications

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“…In his subsequent work , Fujita proposed a P2P DHT using the star overlay network and gave the mapping from a given key to a vertex in the star overlay network. The paper in proposes a star network based on peer to peer links on FPGA.…”

Section: Preliminaries and Backgroundmentioning

confidence: 99%

An optimal inherently stabilizing routing algorithm for star P2P overlay networks

Karaata

Alsulaiman

2016

Concurrency and Computation

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Summary Star graphs possess many desirable properties such as scalable node degrees and diameters, which are essential to facilitate reduced routing table sizes and low maximum path length for routing in large P2P networks. In addition, because a large number of disjoint paths are available and each data/replica in an n‐star can be placed in an (n − 1)‐star, load balancing and alleviation of network bottlenecks can be implemented in star P2P overlay networks. Therefore, star networks have been proposed as viable alternatives to existing overlay topologies for large P2P networks. In this paper, we propose an optimal stabilizing and inherently stabilizing algorithm for routing messages over all disjoint paths between two peers in a star P2P overlay network. The algorithm is optimal in terms of its time complexity in rounds and the length of the longest path traversed by the messages, and fault tolerant due to being stabilizing and inherently stabilizing, allowing the system to withstand transient faults. The algorithm can be used to increase network reliability and survivability in P2P networks. In addition, the usage of all disjoint paths to route messages between two peers leads to increased network bandwidth while distributing the communication overhead across the network and eliminating network bottlenecks in P2P networks. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Preliminaries and Backgroundmentioning

confidence: 99%

An optimal inherently stabilizing routing algorithm for star P2P overlay networks

Karaata

Alsulaiman

2016

Concurrency and Computation

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show abstract

“…At the time of writing this paper, the ZZ-Huffman module has not been implemented yet, which is represented as a circle in dashed line. For efficiently use and fast prototyping, start network is utilized as the interconnection scheme [15]. Each hardware servant is connected to the main scheduler servant via a pair of peer-to-peer FIFO based FSL channels.…”

Section: Prototype On Fpga On Jpeg Applicationsmentioning

confidence: 99%

CaaS: Core as a service realizing hardware sercices on reconfigurable MPSoCS

Wang

Zhang

et al. 2012

22nd International Conference on Field Programmable Logic and Applications (FPL)

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Service-oriented architecture (SOA) has been proved as an efficient way for high level programming paradigms. This paper realizes services into reconfigurable MPSoC to organize CaaS: a core as a service framework, which implements hardware services on state-of-the-art reconfigurable multi-processor system-on-chip (MPSoC) platform for high level parallelization. The integration of SOA concepts can provide structural programming models to ease the burden of high level programming. For demonstration, a prototype with JPEG application has been built on an FPGA, regarding embedded processors and IP cores as computing servants. The experimental results demonstrate the CaaS can achieve high flexibility with dynamic reconfigurable techniques.

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SparseNN: A Performance-Efficient Accelerator for Large-Scale Sparse Neural Networks

Wang

Gong

et al. 2017

Int J Parallel Prog

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A Flexible High Speed Star Network Based on Peer to Peer Links on FPGA

Cited by 15 publications

References 14 publications

An optimal inherently stabilizing routing algorithm for star P2P overlay networks

An optimal inherently stabilizing routing algorithm for star P2P overlay networks

CaaS: Core as a service realizing hardware sercices on reconfigurable MPSoCS

SparseNN: A Performance-Efficient Accelerator for Large-Scale Sparse Neural Networks

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