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检索条件"任意字段=International Conference on Parallel Distributed and Grid Computing"

共 34218 条记录，以下是171-180 订阅

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The Cloud-HPC infrastructure for Hazard Mapping and vulnerability Monitoring (HaMMon)

The Cloud-HPC infrastructure for Hazard Mapping and vulnerab...

引用

Euromicro conference on parallel, distributed and Network-Based Processing

作者： Mauro Imbrosciano Eva Sciacca Fabio Vitello Leonardo Pelonero Francesco Franchina Ugo Becciani Iacopo Colonnelli Doriana Medić Istituto Nazionale di Astrofisica Osservatorio Astrofisico di Catania Catania Italy Dipartimento di Informatica Università degli Studi di Torino Torino Italy

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

The HaMMon project is the outcome of an industrial partnership that includes many Italian research institutions and private companies. It is led by UnipolSai and Leitha, and funded by the ICSC, the Italian National Research Center for High Performance computing, Big Data and Quantum *** ambition of HaMMon is to build a flexible and scalable platform to analyze the hydrogeological and atmospheric balance of the Italian territory. The project aims to expand the current knowledge in hazard mapping, monitoring, and forecasting from an industrial perspective by leveraging innovative technologies and the interdisciplinary activities carried out by the *** this work, we present the cloud-HPC infrastructure deployed in the High-Performance computing for Artificial Intelligence (HPC4AI) green data center of the University of Turin which supports the testing and development of HaMMon’s applications and services. We describe the current activities and preliminary results related to the integration of Photogrammetry techniques, Data Visualization and Artificial Intelligence technologies, applied on aerial images, to assess extreme natural events and evaluate their impact on risk-exposed assets.

关键词： Quantum computing Clouds High performance computing Hazards Artificial intelligence Forecasting Photogrammetry Monitoring Testing Drones

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Proceedings of the 16th IASTED international conference on parallel and distributed computing and Systems

Proceedings of the 16th IASTED International Conference on P...

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Proceedings of the 16th IASTED international conference on parallel and distributed computing and Systems

The proceedings contain 147 papers from the Proceedings of the 16th IASTED international conference on parallel and distributed computing and Systems. The topics discussed include: a grid simulation infrastructure supporting advance reservation;auction-based resource allocation protocols in grids;effectiveness of grid configurations on application performance;a constant time shortest-path routing algorithm for pyramid networks;wormhole routers for network-on-chop;communication optimization on broadcast-based clusters;a localization algorithm extension for the evolvable sensor network;and migration algorithms for automated load balancing.

关键词： distributed computer systems

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A Multi-holder Role and Strange Attractor-Based Data Possession Proof in Medical Clouds 24th

A Multi-holder Role and Strange Attractor-Based Data Possess...

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24th international conference on Algorithms and Architectures for parallel Processing, ICA3PP 2024

作者： Guo, Jinyuan Sun, Lijuan Wu, Jingchen Chu, Chiawei Gao, Yutong Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing China School of Cybersecurity Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance Ministry of Education Minzu University Beijing China Intellectual Property Information Service Center BHU Beihang University Beijing China City University of Macau Taipa China Li’an International Education Innovation Pilot Zone Hainan International College of Minzu University of China Hainan Beijing China

ISBN: (纸本)9789819615278

Proof of Data Possession is a technique for ensuring the integrity of data stored in cloud storage. However, most audit schemes assume only one role for data owners, which is not suitable for complex Smart Healthcare Network with multiple roles. In such schemes addressing the risk of third-party auditors (TPA) colluding with other entities, blockchain is typically employed. However, this necessitates extensive computation, resulting in unacceptably high energy consumption and prolonged verification times. In this paper, we propose a Proof of Data Possession scheme tailored for medical network environments, which incorporates protocols designed for both healthcare professionals and patients, considering the diverse roles that generate data within medical network applications and the varying performance of the devices they use. During the generation of metadata for verification, the protocol incorporates the varying security risk levels associated with medical data. For subsequent metadata selection, an audit block extraction strategy based on strange attractors is employed, effectively mitigating the risk of collusion by third-party TPA, thereby enhancing the security and efficiency of the scheme. Additionally, we conducted experimental analysis and comparisons, demonstrating higher security and practical applicability. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Data integrity

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Exploiting GPU computing for effective Agent-Based simulation: initial experiments

Exploiting GPU computing for effective Agent-Based simulatio...

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Euromicro conference on parallel, distributed and Network-Based Processing

作者： Marzio Pennisi Giuliana Franceschinis Daniele Baccega Simone Pernice Irene Terrone Computer Science Institute - DiSIT Università del Piemonte Orientale Alessandria Italy Department of Computer Science University of Turin Turin Italy

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

Agent-Based Modeling and Simulation (ABMS) has been increasingly applied in various research fields, thanks to the capability of these models to describe fine-grained realworld behavior and to the ease of interpretation by domain experts. However, such models lack a formal definition and well-defined semantics that are common to the different tools supporting ABMS. This may occasionally lead to greater complexity in interpreting the results with respect to other modeling approaches. To address this issue, an ABM semantics that adopts a continuous-time approach and a next-event time advance simulation algorithm has been formally defined and presented. Such an approach may lead to high computation times as it requires recalculations of activity rates for all the agents after each event. In this preliminary study, we exploit the FLAME GPU framework to evaluate the benefits that GPU computing may bring to the performance of our simulation algorithm.

关键词： Semantics Graphics processing units Fires Agent-based modeling Complexity theory

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Enabling Low-Overhead HT-HPC Workflows at Extreme Scale using GNU parallel 24

Enabling Low-Overhead HT-HPC Workflows at Extreme Scale usin...

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

作者： Ketan Maheshwari William Arndt Ahmad Maroof Karimi Junqi Yin Frédéric Suter Seth Johnson Rafael Ferreira da Silva Oak Ridge National Laboratory Oak Ridge TN USA Lawrence Berkeley National Laboratory Berkeley CA USA

ISBN: (纸本)9798350355543

GNU parallel is a versatile and powerful tool for process parallelizatlon widely used in scientific computing. This paper demonstrates its effective application in high-performance computing (HPC) environments, particularly focusing on its scalability and efficiency in executing large-scale high-throughput high-performance computing (HT-HPC) workflows. Through real-world examples, we highlight GNU parallel's performance across various HPC workloads, including GPU computing, container-based workloads, and node-local NVMe storage. Our results on two leading supercomputers, OLCF's Frontier and NERSC's Perlmutter, showcase GNU parallel's rapid process dispatching ability and its capacity to maintain low overhead even at extreme scales. We explore GNU parallel's application in massive parallel file transfers using a scheduled Data Transfer Node (DTN) cluster, emphasizing its broad utility in diverse scientific workflows. Beyond its direct application as a viable workflow manager, GNU parallel can be employed in conjunction with other workflow systems as a "last-mile" parallelizing driver and as a quick prototyping tool to design and extract parallel profiles from application executions. We then argue that the potential for GNU parallel to transform workflow management at extreme scales is substantial, paving the way for more efficient and effective scientific discoveries.

关键词： distributed computing

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parallel Runtime Interface for Fortran (PRIF): A Multi-Image Solution for LLVM Flang 24

Parallel Runtime Interface for Fortran (PRIF): A Multi-Image...

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

作者： Dan Bonachea Katherine Rasmussen Brad Richardson Damian Rouson Computer Languages and Systems Software Group and NERSC Lawrence Berkeley National Laboratory USA

ISBN: (纸本)9798350355543

Fortran compilers that provide support for Fortran's native parallel features often do so with a runtime library that depends on details of both the compiler implementation and the communication library, while others provide limited or no support at all. This paper introduces a new generalized interface that is both compiler- and runtime-library-agnostic, providing flexibility while fully supporting all of Fortran's parallel features. The parallel Runtime Interface for Fortran (PRIF) was developed to be portable across shared- and distributed-memory systems, with varying operating systems, toolchains and architectures. It achieves this by defining a set of Fortran procedures corresponding to each of the parallel features defined in the Fortran standard that may be invoked by a Fortran compiler and implemented by a runtime library. PRIF aims to be used as the solution for LLVM Flang to provide parallel Fortran support. This paper also briefly describes our PRIF prototype implementation: Caffeine.

关键词： Caffeine

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Hands-On Learning: Teaching parallel and distributed computing through Unplugged Activities in Undergraduate CS Courses 24

Hands-On Learning: Teaching Parallel and Distributed Computi...

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

作者： Anurag Dasgupta Venkat Margapuri Simon Shamoun Shubbhi Taneja Matthew Toups Computer Science and Engineering Technology Valdosta State University Valdosta GA Department of Computing Sciences Villanova University Villanova PA Department of Computer Science Hofstra University Hempstead NY Department of Computer Science Worcester Polytechnic Institute Worcester Massachusetts Computer Science Department Tulane University New Orleans LA

ISBN: (纸本)9798350355543

The authors present and evaluate an unplugged activity to introduce parallel computing concepts to undergraduate students. Students in five CS classrooms used a deck of playing cards in small groups to consider how parallelization can improve performance and how improvement decreases with increased parallelization. Before and after the activity, students took a short survey about their solution and their ideas about parallelism. The authors carried out this activity in seven courses at five institutions in the 2023-2024 academic year. The results showed that students had an increased appreciation for parallelization and this type of activity.

关键词： CS

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High Performance Stingray: fast spectral timing for all

High Performance Stingray: fast spectral timing for all

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Euromicro conference on parallel, distributed and Network-Based Processing

作者： Matteo Bachetti Eleonora Veronica Lai Daniela Huppenkothen Guglielmo Mastroserio Matteo Lucchini Osservatorio Astronomico di Cagliari Istituto Nazionale di Astrofisica Cagliari Italy Anton Pannekoek Institute for Astronomy University of Amsterdam Amsterdam the Netherlands Dipartimento di Fisica Università degli Studi di Milano Milano Italy

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

Celestial objects are known to be change in brightness over time, driven by a diverse combination of physical processes, whose time scales range from sub-milliseconds to billions of years. Stingray is an open-source Python package that brings advanced time series analysis techniques to the astronomical community, with a focus on high-energy astrophysics, but built on top of general-purpose classes and methods that are designed to be easily adapted and extended to other use cases. We describe the work being done to adapt Stingray to the analysis of large data archives. In particular, we measure the performance and scalability of Stingray and use parallel computing to speed up selected parts of the code.

关键词： Codes Atmospheric measurements Astrophysics Scalability Time series analysis Brightness parallel processing Particle measurements Extraterrestrial measurements Timing

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Scalable Peer-to-Peer Energy Trading System With Microgrid Coalitions

Scalable Peer-to-Peer Energy Trading System With Microgrid C...

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Smart grid and Green Energy (ICSGGE), international conference on

作者： Jianheng Lan Fengji Luo Xiangyu Li School of Civil Engineering The University of Sydney Sydney Australia Sustainable Energy and Environment Thrust The Hong Kong University of Science and Technology (Guangzhou) Guangzhou China

ISBN: (数字)9798331542139

ISBN: (纸本)9798331542146

Widespread deployment of distributed renewable energy sources fosters the research and development of peer-topeer (P2P) energy trading systems. Despite the benefits this energy-sharing paradigm can bring to the stakeholders in modern energy systems, how to effectively facilitate energy trading among a large number of energy prosumers (producers-and-consumers) remains a non-trivial challenge. This paper proposes a new P2P energy trading system to support energy trading among prosumers located in geographically distributed microgrids. Backboned by a clustering mechanism that dynamically organizes the microgrids into multiple coalitions, the system can enable energy trading within a microgrid and among different microgrids, making it scalable to cater for the energy trading needs of widearea prosumers. Numerical simulation is conducted on an IEEE 33-bus benchmark distribution system to validate the proposed method.

关键词： Green energy Microgrids Benchmark testing Numerical simulation Throughput Peer-to-peer computing Smart grids Computational efficiency Stakeholders Research and development

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Cost Minimization in Residential Hybrid Energy Systems Using Advanced Scheduling Algorithms

Cost Minimization in Residential Hybrid Energy Systems Using...

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Advances in Electrical, computing, Communication and Sustainable Technologies (ICAECT), international conference on

作者： Chodagam Srinivas A. V. Pavan Kumar V. Pranay Teja Reddy B Pavan K Himasagar Reddy Y Yugandhar Reddy Department of EEE Madanapalle Institute of Technology & Science Andhra Pradesh India

ISBN: (数字)9798350356236

ISBN: (纸本)9798350356243

This study proposes an advanced optimization methodology for managing a grid-connected residential hybrid thermal and electrical energy system, incorporating a combined heat and power (CHP) fuel cell and a battery-based energy storage system (ESS). A predictive scheduling framework is designed to optimize the operational plan for distributed energy resources (DER) over a 24-hour period. The main objective is to reduce the operational expenses of a smart home by strategically allocating resources while considering dynamic electricity tariffs and the efficiency of the ESS. To achieve this, an enhanced Adaptive Gravitational Search Algorithm (AGSA) is employed. The research also includes a comparative evaluation of the AGSA against conventional Gravitational Search Algorithm (GSA) and Harmony Search Algorithm (HSA) methods. This comparison underscores the AGSA's superior performance in optimizing residential energy systems. The findings offer significant insights into the application of optimization algorithms for improving cost-efficiency and energy management in modern smart homes.

关键词： Costs Cogeneration Heuristic algorithms Tariffs Fuel cells Smart homes Optimal scheduling Batteries distributed power generation Thermal energy

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