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检索条件"任意字段=IFIP International Conference on Network and Parallel Computing"

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Very-low-delay massive wavelength division multiplexed optical network using Newly structured hollow-core fiber and its application (Invited talk)

Very-low-delay massive wavelength division multiplexed optic...

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international conference on computing, networking and Communications (ICNC)

作者： Naoaki Yamanaka Satoru Okamoto Hiroyuki Tsuda Takashi Miyamura Motoharu Matsuura Kazunori Mukasa Keio Frontier Research & Education Collaborative Square at Shin-Kawasaki Keio University Kawasaki-Shi Japan Graduate School of Scienece and Technology Keio University Yokohama-Shi Japan Furukawa Electric Co. Ltd. Kameyama-Shi Japan

ISBN: (数字)9798331520960

ISBN: (纸本)9798331520977

Newly structured fiber called Hollow-Core Fiber (HCF) had been equipped into the campus for ultra-low latency network. In Keio university’s open lab, we constructed HCF network among four building. HCF transfers the optical signal through the air core not glass core materials. Therefore, three main futures are achieved as follows: 1st is Ultra high-power transmission having 1,000 times larger which can apply to energy transmission like power over fiver (PWoF). 2nd is very-low delay because of small refractive index of about 1. 3rd is optical transmission without degradation due to optical non-linearity which can apply to analog signal transmission for example radio over fiber (RoF). So that we propose massively-wavelength parallel optical paths with HCF to realize the ultra-low latency path. We will use multi-band including S, C, L-Band etc. And using less-nonlinearity, denser wavelength can be transmitted. Because we can use huge number of wavelengths, so one user uses one wavelength without packet or flame multiplexing. So multiplexed delay can me neglected. This paper also describes other new futures such as analogue radio over fiber (ARoF) for 5G signal extension tested in the Keio university future optical network open research center. These technologies will be key to a reliable and smart Beyond 5G society.

关键词： Optical fibers 5G mobile communication Optical fiber networks Optical variables control Wavelength division multiplexing Optical fiber devices Delays Optical refraction Reliability Optical fiber testing

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7th ifip TC 10 Working conference on Distributed and parallel Embedded Systems, DIPES 2010 and 3rd ifip TC 10 international conference on Biologically-Inspired Collaborative computing, BICC 2010 held as part of the 21st ifip World Computer Congress, WCC 2010

7th IFIP TC 10 Working Conference on Distributed and Paralle...

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7th ifip TC 10 Working conference on Distributed and parallel Embedded Systems, DIPES 2010 and 3rd ifip TC 10 international conference on Biologically-Inspired Collaborative computing, BICC 2010 Held as Part of 21st ifip World Computer Congress, WCC 2010

ISBN: (纸本)9783642152337

The proceedings contain 29 papers. The special focus in this conference is on Distributed, parallel and Biologically Inspired Systems. The topics include: Mastering conflicting trends in embedded systems design;a language for heterogeneous computations;scenario-based modeling in industrial information systems;an entirely model-based framework for hardware design and simulation;extending the standard execution model of UML for real-time systems;task migration for fault-tolerant flexray networks;flexible and dynamic replication control for interdependent distributed real-time embedded systems;generation of executable testbenches from natural language requirement specifications for embedded real-time systems;model checking of concurrent algorithms;integrate online model checking into distributed reconfigurable system on chip with adaptable OS services;efficient mutation-analysis coverage for constrained random verification;generating VHDL source code from UML models of embedded systems;a rapid, architectural simulation and synthesis framework for embedded processors;a mixed level simulation environment for stepwise RTOS software refinement;dependency-driven distribution of synchronous programs;distributed resource-aware scheduling for multi-core architectures with system C;robust partitioned scheduling for real-time multiprocessor systems;an infrastructure for flexible runtime reconfigurable multi-microcontroller systems;feature selection for classification using an ant system approach;a collaborative decision support model for marine safety and security operations and collaborating and learning predators on a pursuit scenario.

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HPC and GPU solutions for radio interferometry using RICK

HPC and GPU solutions for radio interferometry using RICK

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Euromicro conference on parallel, Distributed and network-Based Processing

作者： Emanuele De Rubeis Claudio Gheller Giovanni Lacopo Luca Tornatore Pascal Jahan Elahi Maciej Cytowski Giuliano Taffoni Ugo Varetto Dipartimento di Fisica e Astronomia Università di Bologna Istituto di Radioastronomia INAF via Gobetti 93/2 Bologna Italy Istituto di Radioastronomia INAF Via P. Gobetti 101 Bologna Italy INAF Astronomical Observatory of Trieste Università degli studi di Trieste Trieste Italy INAF Astronomical Observatory of Trieste via GB Tiepolo 11 Trieste Italy Pawsey Supercomputing Centre 1 Bryce Avenue Kensington WA Australia

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

Since the last decade, radio astronomy has started a new era: the advent of the Square Kilometer Array (SKA), preceded by its pathfinders, will produce a huge amount of data that will be hard to process with a traditional approach. This means that the current state-of-the-art software for data reduction and imaging will have to be re-modeled to face such data challenge. In order to manage such an increase in data size and computational requirements, scientists need to exploit modern high-performance computing (HPC) architectures. In particular, heterogeneous systems, based on complex combinations of CPUs, accelerators, high-speed networks and composite storage devices need to be used in an efficient and effective way. In this paper, we present an overview on Radio Imaging Code Kernels (RICK; [1]; [2]; [3]), a code able to perform the most computationally demanding steps of w-stacking gridder algorithm exploiting distributed parallelism and GPU acceleration. GPU offloading is possible through CUDA, HIP, and OpenMP, aiming at the largest possible usability among multiple architectures. After detailing the (multi-)GPU approach to the problem and listing all the new code implementations, we analyze its performances considering both the computational and communication workload. We will show how the full, distributed GPU offload of the code, first of its kind and crucial to deal with increasingly large interferometric data, represents not only an extremely fast and optimized approach, but also the greenest one if compared to its parallel CPU counterpart. This code, now publicly available, has been tested with a wide variety of modern interferometers and SKA pathfinders. This represents, to date, the first example of radio imaging software fully enabled to GPUs, becoming a potential state-of-the-art approach for the upcoming SKA. Finally, we will also present the future perspectives about the code, planned to be converted into a library and possibly be used by any of the m

关键词： Performance evaluation Codes Radio astronomy High performance computing Graphics processing units Imaging Radio interferometry Computer architecture Software Usability

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Development of Neuron Processing for DCNN with Weight and Activation for IoT

Development of Neuron Processing for DCNN with Weight and Ac...

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Intelligent Control, computing and Communications (IC3), international conference on

作者： Gummagatta Vybhavi Yajaman Adiba Sultana C. Preethi Deva Vengal Haideer M. Alabdeli Sandeep C S Department of CSE Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad Telangana India Department of CSE CMR College of Engineering & Technology Hyderabad Telangana Department of Computer Science Engineering Sethu Institute of Technology Pulloor Kariapatti Tamil Nadu India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamil Nadu India Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Head Department of ECE Jawaharlal College of Engineering and Technology Palakkad Kerala

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

Convolutional neural network (CNN) accelerators powered by FPGA have garnered a lot of interest lately. This is mainly because they provide a higher degree of energy efficiency when compared to Graphics processing units (G However, it can be difficult for FPGA-based solutions to outperform their Graphics Processing Unit (GPU) substitutes in terms of performance. In this research, we have demonstrated that for a neural network (CNN) taught with binarized values and the activation aspect, it can be more advantageous to use FPGA-based accelerating in regards to productivity and energy usage. An effective, fully mapped FPGA acceleration design featuring deep pipeline phases and layer normalization is demonstrated, designed to function with tiny batch sizes. Unlike the Graphics Processing Unit acceleration, the quantity of the information batch being handled does not significantly impact the processing speed of FPGA accelerators. On the other hand, the total amount of the information batch that is processed has a significant impact on graphic processing acceleration. Test findings show that compared to a Titan X Graphics Processing Unit the proposed BCNN design running on a Virtex-7 FPGA handles specific requests in small batches 8.3 instances quicker and seventy-five times more effectively.

关键词： Productivity Pipelines Graphics processing units Process control parallel processing Throughput Energy efficiency Convolutional neural networks Field programmable gate arrays Biological neural networks

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EUC 2005 Workshops: 2nd international Symposium on Ubiquitous Intelligence and Smart Worlds, UISW 2005, ifip international Symposium on network-Centric Ubiquitous Systems, NCUS 2005, 1st international Workshop on Security in Ubiquitous computing Systems, SecUbiq 2005, 1st international Workshop on RFID and Ubiquitous Sensor networks, USN 2005 and international Workshop on Trusted and Autonomic Ubiquitous and Embedded Systems, TAUES 2005 held in conjunction with the ifip international conference on Embedded and Ubiquitous computing, 2005

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EUC 2005 Workshops: 2nd international Symposium on Ubiquitous Intelligence and Smart Worlds, UISW 2005, ifip international Symposium on network-Centric Ubiquitous Systems, NCUS 2005, 1st international Workshop on Security in Ubiquitous computing Systems, SecUbiq 2005, 1st international Workshop on RFID and Ubiquitous Sensor networks, USN 2005 and international Workshop on Trusted and Autonomic Ubiquitous and Embedded Systems, TAUES 2005 held in conjunction with the ifip international conference on Embedded and Ubiquitous computing, 2005

ISBN: (纸本)3540308032

The proceedings contain 134 papers. The special focus in this conference is on Ubiquitous intelligence and smart worlds. The topics include: Human activity recognition based on surrounding things;a service management system for coordinating smart things in smart spaces;a world model for smart spaces;dealing with emotional factors in agent based ubiquitous group decision;a multi-agent software platform accommodating location-awareness for smart space;application-driven customization of an embedded java virtual machine;intelligent object extraction algorithm based on foreground/background classification;ubiquitous organizational information service framework for large scale intelligent environments;temporal-spatial methodology for application checking of the systems in the ubiquitous environment;multivariate stream data reduction in sensor network applications;implementing a graph neuron array for pattern recognition within unstructured wireless sensor networks;building graphical model based system in sensor networks;the design and implementation of a location-aware service bundle manager in smart space environments;human position/height detection using analog type pyroelectric sensors;semantic based sensor grid and norms enforcement as a coordination strategy in ubiquitous environments.

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HANet: A Harmonic Attention-Based network for Singing Melody Extraction from Polyphonic Music

HANet: A Harmonic Attention-Based Network for Singing Melody...

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international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Shijun Wang Xiangzhu Kong Hao Huang Kai Wang Ying Hu School of Computer Science and Technology Xinjiang University Urumqi China Joint International Research Laboratory of Silk Road Multilingual Cognitive Computing Urumqi China Xinjiang Key Laboratory of Multi-Lingual Information Technology Urumqi China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Singing melody extraction from polyphonic music is a complex but important task in music information retrieval. Harmonic relationships have been shown to be crucial in this task, but most existing models based on Convolutional Neural networks (CNNs) struggle to capture long-range harmonic dependencies. To address this, we propose a Harmonic Attention-based network (HANet) for singing melody extraction from polyphonic music, which includes multiple sampling layers. Specifically, each sampling layer uses three parallel Harmonic Attention Modules (HAMs) with CNNs of different kernel sizes to capture harmonic relationships across 1 to 6 octaves along the frequency axis. Additionally, the Channel Attention Module (CAM) is used to adaptively model long-range harmonic features across various octave ranges. Experimental results show that HANet achieves state-of-the-art performance on multiple public music melody datasets. The overall accuracy on the ADC2004 dataset reached a peak of 95.2%, with the lowest voicing false alarm result of 2.1%. Visualization results directly demonstrate that harmonic information effectively reduces octave errors. Our code is available online: https://***/wwsjj/HANet

关键词： Measurement Visualization Accuracy Signal processing Harmonic analysis Convolutional neural networks Data mining Kernel Speech processing Music information retrieval

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Leveraging Hybrid Classical-Quantum Methods for Efficient Load Rebalancing in HPC 24

Leveraging Hybrid Classical-Quantum Methods for Efficient Lo...

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Proceedings of the SC '24 Workshops of the international conference on High Performance computing, network, Storage, and Analysis

作者： Justyna Zawalska Minh Chung Katarzyna Rycerz Laura Schulz Martin Schulz Dieter Kranzlmüller AGH University of Krakow Institute of Computer Science Krakow Poland and Academic Computer Center CYFRONET AGH Krakow Poland Leibniz Supercomputing Centre (LRZ) Garching bei München Germany and MNM-Team Ludwig-Maximilians-Universität München (LMU) Germany Leibniz Supercomputing Centre (LRZ) Garching bei München Germany Leibniz Supercomputing Centre (LRZ) Garching bei München Germany and Chair for Computer Architecture and Parallel Systems Technical University of Munich (TUM) Germany

ISBN: (纸本)9798350355543

Load imbalance is a challenge for parallel applications in High Performance computing (HPC). It is caused by processes having different execution times or load values, leading to idle or wait times at synchronization points, where faster processes must wait for the slowest process to catch up. To mitigate this issue, applications can employ load balancing (LB) strategies, which migrate load between processes to even out load. This is often referred to as the Load Rebalancing Problem (LRP). While many approaches solving the LRP exist, they can only be heuristics and hence further optimization potential exists. In our work, we turn to a novel approach by using hybrid classical-quantum approaches and present two versions of the constrained quadratic model for solving the LRP; the two differ in how they balance the number of qubits required with the types of applied constraints. We compare the quantum-based methods with classical methods using heuristic algorithms Greedy, Karmarkar--Karp, and ProactLB. We evaluate our approaches using imbalance ratio and speedup as metrics, as well as the number of migrated tasks to indicate overhead caused by migrations. Our results show that the quantum-based methods outperform the classic methods. For example, we need only 1/4 of the number of migrated tasks in a realistic use case compared with classical methods, particularly Greedy and KK, to balance the load.

关键词： CQM

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9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th Workshop on 5G-Putting Intelligence to the network Edge, 5G-PINE 2020, held as parallel events of the 16th ifip WG 12.5 international conference on Artificial Intelligence Applications and Innovations, AIAI 2020

9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th ...

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9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th Workshop on 5G-Putting Intelligence to the network Edge, 5G-PINE 2020, held as parallel events of the 16th ifip WG 12.5 international conference on Artificial Intelligence Applications and Innovations, AIAI 2020

ISBN: (纸本)9783030491895

The proceedings contain 21 papers. The special focus in this conference is on Mining Humanistic Data. The topics include: Threat Landscape of Next Generation IoT-Enabled Smart Grids;towards a Smart Port: The Role of the Telecom Industry;a Graph-Based Extension for the Set-Based Model Implementing Algorithms Based on Important Nodes;a Sentiment-Based Hotel Review Summarization Using Machine Learning Techniques;an Advanced Deep Learning Model for Short-Term Forecasting U.S. Natural Gas Price and Movement;fake News Detection Regarding the Hong Kong Events from Tweets;improving Movie Recommendation Systems Filtering by Exploiting User-Based Reviews and Movie Synopses;the Converging Triangle of Cultural Content, Cognitive Science, and Behavioral Economics;application and Algorithm: Maximal Motif Discovery for Biological Data in a Sliding Window;A New Approach to 5G and MEC Integration;fingerprints Recognition System-Based on Mobile Device Identification Using Circular String Pattern Matching Techniques;mining and Analysis of Air Quality Data to Aid Climate Change;business Aspects of the Neutral Host Model: The Immersive Video Services Case;combined 5G-Based Video Production and Distribution in a Crowded Stadium Event;dynamic network Slicing: Challenges and Opportunities;dynamic Resource Allocation and Computation Offloading for Edge computing System;Intelligent Orchestration of End-to-End network Slices for the Allocation of Mission Critical Services over NFV Architectures;on the Prediction of Future User Connections Based on Historical Records in Wireless networks;Programmable Edge-to-Cloud Virtualization for 5G Media Industry: The 5G-MEDIA Approach.

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Heterogeneous computing in a strongly-connected CPU-GPU environment: fast multiple time-evolution equation-based modeling accelerated using data-driven approach 24

Heterogeneous computing in a strongly-connected CPU-GPU envi...

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Proceedings of the SC '24 Workshops of the international conference on High Performance computing, network, Storage, and Analysis

作者： Tsuyoshi Ichimura Kohei Fujita Muneo Hori Lalith Maddegedara Jack Wells Alan Gray Ian Karlin John Linford Earthquake Research Institute The University of Tokyo RIKEN Tokyo Japan Research Institute for Value-Added-Information Generation Japan Agency for Marine-Earth Science and Technology Yokohama Japan Earthquake Res. Inst. The University of Tokyo Tokyo Japan NVIDIA Santa Clara CA USA

ISBN: (纸本)9798350355543

We propose a CPU-GPU heterogeneous computing method for solving time-evolution partial differential equation problems many times with guaranteed accuracy, in short time-to-solution and low energy-to-solution. On a single-GH200 node, the proposed method improved the computation speed by 86.4 and 8.67 times compared to the conventional method run only on CPU and only on GPU, respectively. Furthermore, the energy-to-solution was reduced by 32.2-fold (from 9944 J to 309 J) and 7.01-fold (from 2163 J to 309 J) when compared to using only the CPU and GPU, respectively. Using the proposed method on the Alps supercomputer, a 51.6-fold and 6.98-fold speedup was attained when compared to using only the CPU and GPU, respectively, and a high weak scaling efficiency of 94.3% was obtained up to 1,920 compute nodes. These implementations were realized using directive-based parallel programming models while enabling portability, indicating that directives are highly effective in analyses in heterogeneous computing environments.

关键词： data-driven approach

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Designing Airport Terminal New Facilities by Exploiting parallel Intelligence and Level of Service Framework

Designing Airport Terminal New Facilities by Exploiting Para...

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2025 Integrated Communications, Navigation and Surveillance conference, ICNS 2025

作者： Siddiqui, Fahad Masood Management and Consultancy Excellence Qatar Limited MATAR (Qatar Company for Airports Operation and Management) Major Projects Department Doha Qatar

ISBN: (纸本)9798331534738

Terminal planning is an iterative cycle that tends to add new facilities based on operational challenges, forecasts, demand analysis, capacity assessment, technology requirements and strategic business objectives. The cornerstone of terminal design management is sustained capacity, which correlates to sizing of subsystems thereby enhancing operational efficiency. The international Air Transport Association (IATA) redefined guidelines not only to reflect an optimum level of service (LoS) but also addressed capacity constraints for advanced concourse systems. On the other hand, parallel intelligence (PI) has gained popularity in terms of shifting the focus from digital twinning towards a highly adaptive tool, which can incorporate real time control function viz. decision making. This capability works on the principle of cognitive intelligence for computing big data via an orchestrated network of field sensors and edge devices. The purpose of this exploratory research is to propose a pragmatic approach that can perform data aggregation of PI nodes and the IATA LoS analytics. With this arrangement, the results will be more accurate, bespoke to a specific terminal and befitting the desired LoS criteria. The exploitation focussed on sample peak hour passenger forecasts for planning facilities and subsystems. The hypothesis is substantiated by means of numerical analysis, an illustrative configuration of PI architecture, and a histogram. The architecture proposed herein is scalable and promises a cost effective roadmap for ensuring optimal LoS while designing new facilities and subsystems. PI-based LoS framework is agile, and can be used for adaptive operations of airport terminal facilities for the future of aviation. © 2025 IEEE.

关键词： Airport terminal level of service (LoS) numerical analysis optimal parallel intelligence (PI)

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