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Three levels of fail-safe mode in MPI I/O NVRAM distributed cache

Procedia computer Science 2018年 136卷 52-61页

作者： Artur Malinowski Paweł Czarnul Dept. of Computer Architecture Faculty of Electronics Telecommunications and Informatics Gdańsk University of Technology Gdansk Poland

The paper presents architecture and design of three versions for fail-safe data storage in a distributed cache using NVRAM in cluster nodes. In the first one, cache consistency is assured through additional buffering write requests. The second one is based on additional write log managers running on different nodes. The third one benefits from synchronization with a Parallel File System (PFS) for saving data into a new file which allows to keep file history at the cost of space. We have shown that the three level fail-safe mode incorporating these versions does introduce minimal overhead for a random walk microbenchmark application for a 1GB file and checkpoints created every 2000 iterations, computing powers of a graph with 10000 vertices and up to 20% overhead for parallel processing of images up to 1000 megapixels compared to the basic NVRAM cache without fail-safe modes. We also presented times for checkpoint creation and restoring for sizes up to 10GBs.

关键词： NVRAM parallel MPI I/O extension fail safe distributed cache

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Impact of network component temperature variation on long haul White Rabbit links

Impact of network component temperature variation on long ha...

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IEEE International Symposium on Precision Clock Synchronization for Measurement, Control and Communication, ISPCS

作者： José López-Jiménez Javier Díaz Manuel Rodríguez-Álvarez Dept. of Computer Architecture and Technology Universidad de Granada Granada Spain

This paper shows an analysis of the time offset error introduced into a highly accurate packet-based time synchronization link by the most frequently deployed long distance network components. Translating the sub-nanosecond accuracy of a White Rabbit timing link into long distance fiber communication networks is a very demanding task. With the increased distance the need for devices that keep the integrity of the signal and maintain its power across hundreds of kilometers is beyond question. Some of these devices might suffer from large disparities in their environmental conditions due to being placed in distant locations from each other, potentially varying their behavior. The results demonstrate that moderate temperature disparities can lead to timing offset errors of several nanoseconds. This outcome can be seen as the foundation laid for a series of compensation techniques to be developed in future work.

关键词： Optical fiber networks Optical fiber dispersion Optical fiber devices Rabbits Optical fibers Timing

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Fuzzy Modelling of Local Linearity in Contours

Fuzzy Modelling of Local Linearity in Contours

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IEEE International Conference on Fuzzy Systems

作者： J. Chamorro-Martinez P. M. Martinez-Jimenez A. Garrido J. M. Soto-Hidalgo Dept. Computer Science and Artificial Intelligence University of Granada Spain Dept. Computer Architecture Electronics and Electronic Technology University of Córdoba Spain

Shape analysis, and particulary the contour study, is a fundamental task for object recognition in images. In this paper, a fuzzy approach for representing the linearity property of a contour segment is proposed. Linearity is a key property related to which degree a contour segment is a curve or a straight line;in addition, it is the basis for modelling other properties like curvature, salience or concavity/convexity. In this framework, firstly, the idea of linearity vs non-linearity, and the meaning of its fulfilment, will he analyzed. Secondly, the definition of a membership function according to that meaning will be proposed on the basis of the coefficient of determination. Finally, we will show the goodness of our proposal by analyzing linearity in a set of shapes with different characteristics.

关键词： Linearity Shape Predictive models Image segmentation Analytical models Estimation Electronic mail

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Sub-nanosecond synchronization over 1G Ethernet data links using white rabbit technologies on the WR-ZEN board 40

Sub-nanosecond synchronization over 1G Ethernet data links u...

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40th International Conference on Telecommunications and Signal Processing, TSP 2017

作者： Sánchez-Garrido, Jorge López-Antequera, Antonio Miguel Jiménez-López, Miguel Díaz, Javier Computer Architecture and Technology Dept. University of Granada Spain

ISBN: (纸本)9781509039821

he White Rabbit (WR) technology has been introduced as an enhancement and next generation of the Precision Time Protocol (PTP, IEEE 1588), providing a boost in synchronization accuracy from the usual sub-microsecond range commonly found in PTPv2-based applications, down to the much more precise sub-nanosecond range. A number of White Rabbit-capable network nodes have been developed with the goal of allowing simultaneous deterministic time transfer and regular Ethernet data traffic to coexist on the same link without significant performance degradation over fiber links spanning tens of kilometers. The first SoC-based platform amongst these nodes is the WR-ZEN board, which implements a real-time White Rabbit stack in the Programmable Logic (PL) of the Zynq-7000 SoC;and features a hardened, ARM dual-core Processing System (PS) for running an embedded Linux environment. This paper presents the work carried out to upgrade the WR-ZEN board implementation, whose peak data throughput is limited just below 70 Mbps, so that a 1 Gbps data rate can be attained without impacting the performance of the White Rabbit synchronization. This goal is fulfilled by designing additional custom logic based on the Xilinx AXI DMA core, as well as an updated Linux network driver. This enhancement allows the widespread deployment of the WR-ZEN for major scientific infrastructure projects that require high-speed data transmission and deterministic timing transfer, as is the case of telescope arrays. Lastly, experimental results are presented comparing the synchronization performance of a baseline PTP-based setup to that achieved on the enhanced WR-ZEN board in the presence of high throughput data traffic. Conclusions are drawn and potential scientific and industrial applications that tap this increased bandwidth with deterministic timing transfer are discussed. © 2017 IEEE.

关键词： Synchronization

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Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients

arXiv

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arXiv 2018年

作者： Barranco, Francisco Fermüller, Cornelia Aloimonos, Yiannis Ros, Eduardo Dept. of Computer Architecture and Technology CITIC University of Granada Spain Dept. of Computer Science UMIACS University of Maryland College ParkMD United States

Conventional image motion based structure from motion methods first compute optical flow, then solve for the 3D motion parameters based on the epipolar constraint, and finally recover the 3D geometry of the scene. However, errors in optical flow due to regularization can lead to large errors in 3D motion and structure. This paper investigates whether performance and consistency can be improved by avoiding optical flow estimation in the early stages of the structure from motion pipeline, and it proposes a new direct method based on image gradients (normal flow) only. The main idea lies in a reformulation of the positive-dept. constraint, which allows the use of well-known minimization techniques to solve for 3D motion. The 3D motion estimate is then refined and structure estimated adding a regularization based on dept.. Experimental comparisons on standard synthetic datasets and the real-world driving benchmark dataset KITTI using three different optic flow algorithms show that the method achieves better accuracy in all but one case. Furthermore, it outperforms existing normal flow based 3D motion estimation techniques. Finally, the recovered 3D geometry is shown to be also very accurate. Copyright © 2018, The Authors. All rights reserved.

关键词： Optical flows

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Text Mining for Educational Literature on Big Data with Hadoop

Text Mining for Educational Literature on Big Data with Hado...

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IEEE International Conference on Smart Cloud (SmartCloud)

作者： Haoge Wang Quanyu Wang Wenming Wang Software Architecture and Big Data dept. of Computer Science Beijing Institute of Technology Beijing China

With the development of the information era, the application of big data technology in education has become more and more extensive. This article adopts the Hadoop platform to conduct parallel mining of educational literature on big data. The paper has analyzed the main function of text mining technology, combined Canopy and K-Means algorithm to analyze and research the educational big data literature, learned about the application of big data technology in the field of education in order to provide its services for the construction of "World-class universities and first-class disciplines" and make a contribution to the development of education.

关键词： Big Data Education Text mining Clustering algorithms Computational modeling Software architecture

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Multi-vehicle Route Planning for Efficient Urban Freight Transport

Multi-vehicle Route Planning for Efficient Urban Freight Tra...

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International IEEE Conference on Intelligent Systems, IS

作者： Petar Mrazovic Elif Eser Hakan Ferhatosmanoglu Josep L. Larriba-Pey Mihhail Matskin Dept. of Software and Computer System Royal Institute of Technology Stockholm Sweden Dept. of Computer Engineering Bilkent University Ankara Turkey Dept. of Computer Science University of Warwick Coventry United Kingdom Dept. of Computer Architecture Polytechnic University of Catalonia Barcelona Spain

ISBN: (纸本)9781538670989;9781538670972

The urban parking spaces for loading/unloading are typically over-occupied, which shifts delivery operations to traffic lanes and pavements, increases traffic, generates noise, and causes pollution. We present a data analytics based routing optimization that improves the circulation of vehicles and utilization of parking spaces. We formalize this new problem and develop a novel multivehicle route planner that avoids congestions at loading/unloading areas and minimizes the total duration. We present the developed tool with an illustration and analysis for the urban freight in the city of Barcelona, which monitors tens of thousands of deliveries every day. Our system includes an effective evaluation of candidate routes by considering the waiting times and further delays of other deliverers as a first class citizen in the optimization. A two-layer local search is proposed with a greedy randomized adaptive method for variable neighborhood search. Our approach is applied and validated over data collected across Barcelona's urban freight transport network, which contains 3,704,034 parking activities. Our solution is shown to significantly improve the use of available parking spaces and the circulation of vehicles, as evidenced by the results. The analysis also provides useful insights on how to manage delivery routes and parking spaces for sustainable urban freight transport and city logistics.

关键词： Loading Optimization Planning Routing Urban areas Roads Load modeling

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Corrigendum to “Effect of anisotropic porous structure on mixed permanent magnetic-convection heat transfer under permanent twin magnets” [ICHMT, 158, November 2024, 107831]

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International Communications in Heat and Mass Transfer 2024年 159卷

作者： Mohsen Izadi Ahmad Hajjar Mohamed Moussa El Idi Q.N.G. Lam Faris Alqurashi Mohamed H. Mohamed Institute of Research and Development Duy Tan University Da Nang Viet Nam School of Engineering & Technology Duy Tan University Da Nang Viet Nam Mechanical Engineering Department Faculty of Engineering Lorestan University Khorramabad Iran Center for Environmental Intelligence and College of Engineering and Computer Science VinUniversity Hanoi Viet Nam LabECAM ECAM La Salle Université de Lyon 69005 Lyon France Department of Mechanical Engineering College of Engineering University of Bisha Bisha 61922 P.O. Box 551 Saudi Arabia Mechanical Power Engineering Department Faculty of Engineering EL-Mattaria Helwan University P·O Box:11718 Cairo Egypt Mechanical Engineering Dept. College of Engineering and Islamic Architecture Umm Al-Qura University P.O. 5555 Makkah Saudi Arabia

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DEFINITION OF A TRANSPARENT CONSTRAINT-BASED MODELING AND SIMULATION LAYER FOR THE MANAGEMENT OF COMPLEX SYSTEMS

DEFINITION OF A TRANSPARENT CONSTRAINT-BASED MODELING AND SI...

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Simulation Multi-Conference

作者： Kevin Henares Jose L. Risco-Martin Marina Zapater Dept. of Computer Architecture and Automation Complutense University of Madrid Madrid Spain Embedded Systems Laboratory (ESL) Swiss Federal Institute of Technology Lausanne (EPFL) Lausanne Switzerland

Modeling and Simulation (M&S) is one of the most multifaceted topics present today in both industry and academia. However, we are involved in a new M&S paradigm. Systems are becoming more complex and new simulation needs arise and have to be studied. As a consequence, the way in which we perform M&S must be adapted, providing new ideas and tools. In this paper, we propose a rule-based constraints evaluator, which facilitate the validation and verification of complex models in a transparent manner. For this, constraints are defined. The constraints definition process is completely independent of the model development process because (a) the set of constraints is defined once the model has been developed, and (b) constraints are validated at simulation time. The proposed Constraint M&S architecture has been built using the Discrete Event System Specification (DEVS) formalism and has been tested on a validated data center simulation model.

关键词： Model checking Constraint modeling and simulation Discrete events Verification Data centers

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Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging

arXiv

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arXiv 2018年

作者： Bernal, Jose Kushibar, Kaisar Cabezas, Mariano Valverde, Sergi Oliver, Arnau Lladó, Xavier Computer Vision and Robotics Institute Dept. of Computer Architecture and Technology University of Girona Ed. P-IV Av. Lluis Santaló s/n Girona17003 Spain

Accurate brain tissue segmentation in Magnetic Resonance Imaging (MRI) has attracted the attention of medical doctors and researchers since variations in tissue volume help in diagnosing and monitoring neurological diseases. Several proposals have been designed throughout the years comprising conventional machine learning strategies as well as convolutional neural networks (CNN) approaches. In particular, in this paper, we analyse a sub-group of deep learning methods producing dense predictions. This branch, referred in the literature as Fully CNN (FCNN), is of interest as these architectures can process an input volume in less time than CNNs and local spatial dependencies may be encoded since several voxels are classified at once. Our study focuses on understanding architectural strengths and weaknesses of literature-like approaches. Hence, we implement eight FCNN architectures inspired by robust state-of-the-art methods on brain segmentation related tasks. We evaluate them using the IBSR18, MICCAI2012 and iSeg2017 datasets as they contain infant and adult data and exhibit varied voxel spacing, image quality, number of scans and available imaging modalities. The discussion is driven in three directions: comparison between 2D and 3D approaches, the importance of multiple modalities and overlapping as a sampling strategy for training and testing models. To encourage other researchers to explore the evaluation framework, a public version is accessible to download from our research website. Copyright © 2018, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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