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Conference on Lasers and Electro-Optics/Pacific Rim, CLEOPR 2018

作者： Sahin, Ezgi Blanco-Redondo, Andrea Xing, Peng Ng, Doris K.T. Png, Ching E. Tan, Dawn T.H. Eggleton, Benjamin J. Photonics Devices and Systems Group Singapore University of Technology and Design 8 Somapah Rd Singapore487372 Singapore Electronics and Photonics Department Institute of High Performance Computing Agency for Science Technology and Research 1 Fusionopolis Way Singapore138632 Singapore Sydney Nano Institute School of Physics University of Sydney NSW2006 Australia Institute of Microelectronics A*STAR 2 Fusionopolis Way #08-02 Innovis Tower Singapore138634 Singapore

We demonstrate Bragg soliton dynamics on CMOS-compatible platform for the first time. We provide complete time-resolved measurements of record high-order soliton compression and show third-order dispersion induced fis... 详细信息

ISBN: (纸本)9781943580453

关键词： CMOS integrated circuits

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A single-FPGA architecture for detecting heavy hitters in 100 Gbit/s ethernet links

A single-FPGA architecture for detecting heavy hitters in 10...

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2017 International Conference on Reconfigurable computing and FPGAs, ReConFig 2017

作者： Zazo, Jose Fernando Lopez-Buedo, Sergio Ruiz, Mario Sutter, Gustavo NAUDIT HPCN Calle Faraday 7 Madrid28049 Spain High-Performance Computing and Networking Research Group Universidad Autonoma de Madrid Ciudad Universitaria de Cantoblanco Madrid28049 Spain

ISBN: (纸本)9781538637975

In network traffic monitoring, a very important analysis is to find heavy hitters. That is, finding those flows that use most resources in a given network link. This information can be very useful for security or traffic management purposes. Though this analysis might seem easy to implement, since it is essentially based on counting, the fact is that doing it at 100 Gbit/s rates is far from trivial. In 100 Gbit/s Ethernet (100 GbE), up to 148 million packets per second can be received, thus making it very difficult to parse packets and maintain counters at such rate. In this paper, we leverage the integrated 100G Ethernet Subsystem available in Xilinx UltraScale devices to implement a heavy hitter detector for 100 GbE in a VCU108 evaluation kit. Thanks to the integration of the Count Sketch algorithm with a priority list and a network packet parser, the proposed architecture is able to work at line rate for average packet sizes bigger than 215 bytes. The work presents a theoretical analysis of the error, as well as the technical details of the proposed solution. The implementation has been validated using real-world traces, obtaining an average error of 1.29%. © 2017 IEEE.

关键词： Ethernet

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Intermolecular Carbonyl–olefin Metathesis with Vinyl Ethers Catalyzed by Homogeneous and Solid Acids in Flow

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Angewandte Chemie 2019年第10期132卷

作者： Miguel Ángel Rivero‐Crespo María Tejeda‐Serrano Horacio Pérez‐Sánchez José Pedro Cerón‐Carrasco Antonio Leyva‐Pérez Instituto de Tecnología Química (UPV-CSIC) Universitat Politècnica de València-Consejo Superior de Investigaciones Científicas Avda. de los Naranjos s/n 46022 Valencia Spain Structural Bioinformatics and High Performance Computing Research Group (BIO-HPC) Universidad Católica de Murcia (UCAM) Spain

The carbonyl–olefin metathesis reaction has experienced significant advances in the last seven years with new catalysts and reaction protocols. However, most of these procedures involve soluble catalysts for intramolecular reactions in batch. Herein, we show that recoverable, inexpensive, easy to handle, non‐toxic, and widely available simple solid acids, such as the aluminosilicate montmorillonite, can catalyze the intermolecular carbonyl–olefin metathesis of aromatic ketones and aldehydes with vinyl ethers in‐flow, to give alkenes with complete trans stereoselectivity on multi‐gram scale and high yields. Experimental and computational data support a mechanism based on a carbocation‐induced Grob fragmentation. These results open the way for the industrial implementation of carbonyl–olefin metathesis over solid catalysts in continuous mode, which is still the origin and main application of the parent alkene–alkene cross‐metathesis.

关键词： Carbonyl-Olefin-Metathese Durchflussreaktionen Heterogene Katalyse Montmorillonit K10 Vinylether

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Valley times in the Spanish academic network

Valley times in the Spanish academic network

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IFIP/IEEE International Symposium on Integrated Network Management

作者： Sergio Albandea José Luis García-Dorado David Muelas Jorge E. López de Vergara Javier Aracil High Performance Computing and Networking Research Group Universidad Autónoma de Madrid Spain

ISBN: (纸本)9781509056583

The scheduling of bulk transfers such as database distribution, resources replication and security backups, and other non-time-critical tasks has a direct effect on both the performance and cost of a network. We propose to face this problem by studying the valley times - i.e., the minimum use during off-peak periods of a network - as suitable moments to carry out such tasks. To do so, we characterize them considering the valley-hour, which we define as the opposite to the well-known variable busy-hour. Our analysis, based on 6-year-long measurements from 12 points of presence in the Spanish research and Education Network (RedIRIS), has guided us to model the valley-hour as a Gaussian process. After that, we compare its behavior in different points and detect the main factors that explain its variance, finding significant heterogeneity. With the resulting conclusions, we have proposed a system to predict valley-hours in RedIRIS with errors below an hour for most of the cases.

关键词： Bandwidth Analysis of variance Internet Shape Education Pollution measurement

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Application of functional feature extraction to the compression of network time series

Application of functional feature extraction to the compress...

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IFIP/IEEE International Symposium on Integrated Network Management

作者： David Muelas José Luis García-Dorado Jorge E. López de Vergara Javier Aracil High Performance Computing and Networking Research Group Universidad Autónoma de Madrid Spain

ISBN: (纸本)9781509056583

Network management actions require the retention of data representing the temporal evolution of network state, mainly in the form of time series. Nonetheless, storing and exploiting those measurements is becoming a challenge as the production rate of such data is continuously increasing and data lasting for long time periods are used. To scale up the storage and improve both the analysis and visualization of network measurements, we apply Functional Principal Components Analysis (FPCA) to extract the most meaningful functional features for network time series, pruning those with low informational importance. We compare such algorithm with other state-of-the-art proposals, and show that it achieves lower error for the representation of atypical observations even with higher compression ratios.

关键词： Time series analysis Principal component analysis Feature extraction Time measurement Wavelet analysis Indexes Resource description framework

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On the impact of TCP segmentation: Experience in VoIP monitoring

On the impact of TCP segmentation: Experience in VoIP monito...

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IFIP/IEEE International Symposium on Integrated Network Management

作者： David Muelas Jorge E. López de Vergara Javier Ramos José Luis García-Dorado Javier Aracil High Performance Computing and Networking Research Group Universidad Aut??noma de Madrid Spain High Performance Computing and Networking Research Group Universidad Autonoma de Madrid Madrid Madrid ES Naudit HPCN S.L. Spain

ISBN: (纸本)9781509056583

Quality of Service (QoS) and Experience (QoE) monitoring is a must during the management of services deployed over the Internet. This is particularly critical for Voice over IP (VoIP), as its degradation is immediately perceived by end users. From our experience, we highlight the impact that TCP segmentation exerts on online VoIP monitoring systems. On the one hand, it makes difficult to interpret the segmented signaling messages for application monitoring. On the other hand, complete messages do not provide information about packet level behavior, which is necessary for internetworking layer monitoring. Paradoxically, the Network Management community has not paid much attention to this fact, although it compromises several VoIP management tasks. To fill in this gap, we provide an empirical evaluation of its impact for the most popular VoIP signaling protocols using traces from enterprise networks, and present the architecture and heuristic that we are currently developing to partially solve the effect of the segmentation. Our proposal avoids the overhead of reconstructing the entire data stream and, at the same time, it enables the analysis of the packets that are actually sent. To do so, it maps TCP flags with segmented application messages, and exploits data structures that reduce latency. In this way, our solution paves the way for online monitoring tools that take into account both internetworking and application layers performance.

关键词： Monitoring Tools Algorithm design and analysis Protocols Software algorithms Multimedia communication Software

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Three-dimensional magnetic reconnection in a collapsing coronal loop system

arXiv

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arXiv 2018年

作者： O'Flannagain, Aidan M. Maloney, Shane A. Gallagher, Peter T. Browning, Philippa Refojo, Jose Astrophysics Research Group School of Physics Trinity College Dublin Dublin 2 Ireland Jodrell Bank Centre for Astrophysics University of Manchester ManchesterM13 9PL United Kingdom Trinity Centre for High Performance Computing Trinity College Dublin Dublin 2 Ireland

Context. Magnetic reconnection is believed to be the primary mechanism by which non-potential energy stored in coronal magnetic fields is rapidly released during solar eruptive events. Unfortunately, owing to the small spatial scales on which reconnection is thought to occur, it is not directly observable in the solar corona. However, larger scale processes, such as associated inflow and outflow, and signatures of accelerated particles have been put forward as evidence of reconnection. Aims. Using a combination of observations we explore the origin of a persistent Type I radio source that accompanies a coronal X-shaped structure during its passage across the disk. Of particular interest is the time range around a partial collapse of the structure that is associated with inflow, outflow, and signatures of particle acceleration. Methods. Imaging radio observations from the Nançay Radioheliograph were used to localise the radio source. Solar Dynamics Observatory (SDO) AIA extreme ultraviolet (EUV) observations from the same time period were analysed, looking for evidence of inflows and outflows. Further mpole magnetic reconstructions using SDO HMI observations allowed the magnetic connectivity associated with the radio source to be determined. Results. The Type I radio source was well aligned with a magnetic separator identified in the extrapolations. During the partial collapse, gradual (1 km/s) and fast (5 km/s) inflow phases and fast (30 km/s) and rapid (80-100 km/s) outflow phases were observed, resulting in an estimated reconnection rate of ~0.06. The radio source brightening and dimming was found to be co-temporal with increased soft x-ray emission in both Reuven Ramaty high Energy Solar Spectroscopic Imager (RHESSI) and Geostationary Operational Environmental Satellite (GOES). Conclusions. We interpret the brightening and dimming of the radio emission as evidence for accelerated electrons in the reconnection region responding to a gradual fall and rapid rise in

关键词： Potential energy

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Publisher Correction: Tig1 regulates proximo-distal identity during salamander limb regeneration

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Nature communications 2022年第1期13卷 4507页

作者： Catarina R Oliveira Dunja Knapp Ahmed Elewa Tobias Gerber Sandra G Gonzalez Malagon Phillip B Gates Hannah E Walters Andreas Petzold Hernan Arce Rodrigo C Cordoba Elaiyaraja Subramanian Osvaldo Chara Elly M Tanaka András Simon Maximina H Yun Technische Universität Dresden CRTD/Center for Regenerative Therapies Dresden Dresden Germany. Technische Universität Dresden CRTD/Center for Regenerative Therapies Dresden Dresden Germany. dunja.knapp@tu-dresden.de. Department of Cell and Molecular Biology Karolinska Institute Stockholm Sweden. European Molecular Biology Laboratory (EMBL) Heidelberg Germany. Institute of Structural and Molecular Biology University College London London UK. Biomedical Research Institute Foundation for Research and Technology University of Ioannina Campus 45115 Ioannina Greece. Systems Biology Group Institute of Physics of Liquids and Biological Systems National Scientific and Technical Research Council (CONICET) and University of La Plata La Plata Argentina. Instituto de Tecnología Universidad Argentina de la Empresa (UADE) Buenos Aires Argentina. Technische Universität Dresden Center for Information Services and High Performance Computing ZIH Dresden Germany. Institute of Molecular Pathology Vienna Biocenter Vienna Austria. Technische Universität Dresden CRTD/Center for Regenerative Therapies Dresden Dresden Germany. maximina.yun@tu-dresden.de. Max Planck Institute for Molecular Cell Biology and Genetics Dresden Germany. maximina.yun@tu-dresden.de.

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Determination of the light, strange and charm quark masses using twisted mass fermions

arXiv

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arXiv 2021年

作者： Alexandrou, C. Bacchio, S. Bergner, G. Constantinou, M. Di Carlo, M. Dimopoulos, P. Finkenrath, J. Fiorenz, E. Frezzotti, R. Garofalo, M. Hadjiyiannakou, K. Kostrzewa, B. Koutsou, G. Jansen, K. Lubicz, V. Mangin-Brinet, M. Manigrasso, F. Martinelli, G. Pittler, F. Rossi, G.C. Sanfilippo, F. Simula, S. Tarantino, C. Todaro, A. Urbach, C. Wenger, U. Department of Physics University of Cyprus Nicosia20537 Cyprus Computation-based Science and Technology Research Center The Cyprus Institute Cyprus University of Jena Institute for Theoretical Physics Max-Wien-Platz 1 JenaD-07743 Germany Department of Physics Temple University PhiladelphiaPA19122-1801 United States School of Physics and Astronomy The University of Edinburgh EdinburghEH9 3FD United Kingdom Istituto Nazionale di Fisica Nucleare Sezione di Roma La Sapienza Italy Dipartimento di Scienze Matematiche Fisiche e Informatiche Universita di Parma INFN Italy CP3-Origins University of Southern Denmark Campusvej 55 Odense5230 Denmark Dipartimento di Fisica INFN Universita di Roma Tor Vergata RomeI-00133 Italy Rheinische Friedrich-Wilhelms-Universitat Bonn Germany High Performance Computing and Analytics Lab Rheinische Friedrich-Wilhelms-Universitat Bonn Germany NIC DESY Platanenallee 6 ZeuthenD-15738 Germany Dipartimento di Matematica e Fisica Universita Roma Tre INFN Sezione di Roma Tre Italy Theory Group Laboratoire de Physique Subatomique et de Cosmologie Grenoble France Institut fur Physik Humboldt-Universitat zu Berlin Newtonstrasse 15 Berlin12489 Germany Dipartimento di Fisica INFN Universita di Roma la Sapienza RomeI-00185 Italy Centro Fermi Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi Italy Istituto Nazionale di Fisica Nucleare Sezione di Roma Tre Italy Institute for Theoretical Physics Albert Einstein Center for Fundamental Physics Switzerland

We present results for the light, strange and charm quark masses using Nf= 2, 1, 1 twisted mass fermion ensembles at three values of the lattice spacing, including two ensembles simulated with the physical value of the pion mass. The analysis is done both in the meson and baryon sectors. The difference in the mean values found in the two sectors is included as part of the systematic error. The presentation is based on the work of Ref. [1], where more details can be found. Copyright © 2021, The Authors. All rights reserved.

关键词： Hadrons

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A novel multi-task deep learning model for skin lesion segmentation and classification

arXiv

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arXiv 2017年

作者： Yang, Xulei Zen, Zeng Yeo, Si Yong Tan, Colin Tey, Hong Liang Su, Yi Institute of High Performance Computing A*STAR Singapore Institute for Infocomm Research A*STAR Singapore National Skin Center National Healthcare Group Singapore

In this study, a multi-task deep neural network is proposed for skin lesion analysis. The proposed multi-task learning model solves different tasks (e.g., lesion segmentation and two independent binary lesion classifications) at the same time by exploiting commonalities and differences across tasks. This results in improved learning efficiency and potential prediction accuracy for the task-specific models, when compared to training the individual models separately. The proposed multi-task deep learning model is trained and evaluated on the dermoscopic image sets from the International Skin Imaging Collaboration (ISIC) 2017 Challenge "Skin Lesion Analysis towards Melanoma Detection", which consists of 2000 training samples and 150 evaluation samples. The experimental results show that the proposed multi-task deep learning model achieves promising performances on skin lesion segmentation and classification. The average value of Jaccard index for lesion segmentation is 0.724, while the average values of area under the receiver operating characteristic curve (AUC) on two individual lesion classifications are 0.880 and 0.972, respectively. Copyright © 2017, The Authors. All rights reserved.

关键词： Deep neural networks

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