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检索条件"任意字段=7th European Conference on Parallel Computing"

共 2354 条记录，以下是1-10 订阅

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7th european conference on parallel computing, Euro-Par 2001

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7th european conference on parallel computing, Euro-Par 2001

ISBN: (纸本)3540424954

the proceedings contain 130 papers. the special focus in this conference is on parallel Processing. the topics include: Software component technology for high performance parallel and grid computing;connecting computational requirements with computing resources;a tool for binding to threads processors;a distributed object infrastructure for interaction and steering;optimal polling for latency-throughput tradeoffs in queue-based network interfaces for clusters;performance prediction of data-dependent task parallel programs;the hardware performance monitor toolkit;via communication performance on a gigabit Ethernet cluster;group-based performance analysis for multithreaded SMP cluster applications;exploiting unused time slots in list scheduling considering communication contention;an evaluation of partitioners for parallel SAMR applications;load balancing on networks with dynamically changing topology;approximation algorithms for scheduling independent malleable tasks;load redundancy elimination on executable code;using a swap instruction to coalesce loads and stores;data-parallel compiler support for multipartitioning;parallel and distributed databases, data mining and knowledge discovery;an experimental performance evaluation of join algorithms for parallel object databases;a classification of skew effects in parallel database systems;experiments in parallel clustering with DBSCAN;analysis of the cycle structure of permutations;scanning biosequence databases on a hybrid parallel architecture;experiences in using MPI-Io on top of GPFS for the IFS weather forecast code;improving conditional branch prediction on speculative multithreading architectures;performances of a dynamic threads scheduler and self-stabilizing neighborhood unique naming under unfair scheduler.

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the Design of a computing Platform Architecture for Collaborative Task Processing in Avionics System 7th

The Design of a Computing Platform Architecture for Collabor...

引用

7th China Aeronautical Science and Technology conference, CASTC 2024

作者： Lu, Chenxin Xie, Jianchun Liu, Zuolong Xi’an Aeronautics Computing Technique Research Institute AVIC Xi’an China Key Laboratory of Science and Technology on Airborne and Missileborne Computer Xi’an China

ISBN: (纸本)9789819797738

With the rapid development and application of the concept of multi-aircraft coordinated operations, there are higher requirements for the performance of airborne computing platforms in processing multi-aircraft coordinated tasks. In this study, we have examined the architecture and computing mode of airborne computing platforms in distributed coordinated application scenarios. We have optimized traditional airborne embedded computer architecture, integrated cloud-edge computing technology and heterogeneous parallel computing technology to enhance the performance of airborne computing platforms. We proposes a multi-level heterogeneous distributed collaborative computing platform architecture. the hardware provides modular computing units, while the software implements distributed collaborative resource management and task management mechanisms, along with a unified high-speed network. Additionally, to meet real-time processing requirements for massive data in coordinated task scenarios, we propose a high-throughput computing mode based on the defined platform architecture to ensure task execution throughput through massively parallel acceleration arrays. By integrating the proposed distributed computing architecture with the high throughput computing model, we have developed an integrated airborne distributed collaborative computing platform. In conclusion, we have conducted an analysis of the application of this platform in typical task scenarios of formation coordinated combat. © Chinese Society of Aeronautics and Astronautics 2025.

关键词： HIgh speed networks

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A parallel Genetic Algorithm for Qubit Mapping on Noisy Intermediate-Scale Quantum Machines 7th

A Parallel Genetic Algorithm for Qubit Mapping on Noisy Inte...

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7th International conference on Optimization and Learning

作者： Rouze, Jerome Melab, Nouredine Tuyttens, Daniel Univ Mons Math & Operat Res Dept Mons Belgium Univ Lille CRIStAL Ctr Rech Informat Signal & Automat Lille UMR 9189 CNRSInriaCent Lille F-59000 Lille France

ISBN: (纸本)9783031779404;9783031779411

Quantum computers are getting increasingly large and available thanks to some major technological advancements, but they remain in the realm of NISQ (Noisy Intermediate Scale Quantum) devices. On such devices, due to the limited connectivity of the physical qubits, most quantum circuit-based programs cannot be executed without transpilation. this latter includes an important step, referred to as qubit mapping, which consists in converting the quantum circuit into another one which best matches the graph of physical qubits taking into account its limited connectivity constraint. In this paper, we propose a parallel Genetic Algorithm to Qubit Mapping (PGA-QM). the challenge is to minimize the depth of the transformed circuit and the execution time and error rate consequently. PGA-QM has been experimented using various medium-to-large scale circuit benchmarks. It is compared against the SABRE heuristic currently implemented in Qiskit, the IBM's library for quantum computing. the reported results show that PGA-QM can provide better solutions and with better consistency than its counterpart while parallelism greatly reduces its execution time during the transpilation.

关键词： Qubits

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CUDA Core Meets Tensor Core: Characterizing the Performance of Tensor Computation on Modern GPU 7th

CUDA Core Meets Tensor Core: Characterizing the Performance ...

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7th China Aeronautical Science and Technology conference, CASTC 2024

作者： Ma, Xiu Wang, Linbo Bai, Linting Che, Kai Cao, Xingyu Xi’an Aeronautics Computing Technique Institute AVIC Xi’an China

ISBN: (纸本)9789819797738

Tensor computation plays a crucial role in diverse domains such as artificial intelligence, engineering simulation, and scientific computing. GPUs, the most commonly used platforms for high-performance computing, have been leveraged to accelerate tensor computation. CUDA Core is a significant component of GPUs, providing parallel computing capacity. Tensor Core, a specialized unit that could perform efficient tensor computation is proposed in recent architectures, Volta and Turing. Although manufacturers announced the performance improvement of Tensor Cores, the work of understanding the characteristics of Tensor Cores and comparing CUDA Cores and Tensor Cores is scarce. In this paper, we characterize the performance of tensor computation on two representative GPUs: Tesla V100 and Tesla T4. Based on experimental results, we provide some insights into using Tensor Cores. Furthermore, our detailed characterization and analysis could help developers in programming tensor-based applications on GPUs. © Chinese Society of Aeronautics and Astronautics 2025.

关键词： Tensors

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Large and parallel Human Sorting Networks 7th

Large and Parallel Human Sorting Networks

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7th International conference on Creative Mathematical Sciences Communication, CMSC 2024

作者： Szeider, Stefan Algorithms and Complexity Group TU Wien Vienna Austria

ISBN: (纸本)9783031732560

this paper presents two innovative extensions of the classic Human Sorting Network (HSN) activity from the CS Unplugged program. First, we describe the implementation of a large-scale HSN with 50 input nodes, realized with high school students in Vienna, Austria. We detail the logistical challenges and solutions for creating an HSN of this magnitude, including location selection, network layout, and participant coordination. Second, we report on using parallel 6-input HSNs, which introduce a competitive element and enhance engagement. this parallel setup allows for races between teams and can be adapted for various age groups and knowledge levels. Both extensions aim to increase the educational impact and enjoyment of the HSN activity. We provide comprehensive insights into our experiences, enabling other educators and researchers to replicate or further develop these HSN variants. © the Author(s) 2025.

关键词： algorithmic education Computational thinking CS Unplugged Human sorting networks large-scale computing activities parallel sorting algorithms

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Lightweight Defog Detection for Autonomous Vehicles: Balancing Clarity, Efficiency, and Accuracy 7th

Lightweight Defog Detection for Autonomous Vehicles: Balanci...

引用

7th Chinese conference on Pattern Recognition and Computer Vision

作者： Gan, Shukun Chen, Ningjiang Qin, Hongda Guangxi Univ Sch Comp & Elect Informat Nanning Peoples R China Guangxi Univ Educ Dept Guangxi Zhuang Autonomous Reg Key Lab Parallel Distributed & Intelligent Comp Nanning Peoples R China Guangxi Intelligent Digital Serv Res Ctr Engn Tec Nanning Peoples R China Guangxi Univ Sch Elect Engn Nanning Peoples R China

ISBN: (纸本)9789819788576;9789819788583

Foggy weather conditions significantly impact the visibility required for autonomous vehicle navigation, resulting in performance degradation of on-road object detectors. Mobile computing devices deployed at the edge are often resource-constrained and cannot cope well with the performance degradation of detectors. Image dehazing and ensuring the resource efficiency of dehazing algorithms are crucial for any navigation task of vehicle on the road. To ensure safe and smooth operation in foggy weather conditions, the clarity of the image needs to be improved. To address the challenges, an improved detection model called Lightweight Defog Detector (LDD) is proposed to improve detection performance. First, the dark channel prior and positional normalization algorithm is used to dehaze the image and improve image clarity. Second, a lightweight MOELAN feature extraction module is constructed, significantly improving detection efficiency and making it suitable for deployment on edge devices. Finally, the attention mechanism is introduced to further extract features from the feature maps used for detection, which improves the model's ability to extract feature information. Experiments are conducted on the foggy on-Road dataset. the experimental results show that compared with the YOLOv9 and other models, such as IA-YOLO, the proposed algorithm has a slightly higher average accuracy and can effectively improve the performance of vehicle detection in foggy weather while reducing the parameters.

关键词： Defog Detection Autonomous Vehicles Object Detection Edge computing

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Investigating the Aerodynamic Characteristics of Two-Stage-To-Orbit parallel Vehicles Using the Dynamic Grid Method 7th

Investigating the Aerodynamic Characteristics of Two-Stage-T...

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7th China Aeronautical Science and Technology conference, CASTC 2024

作者： Jin, Chenhui Huai, Yang Li, Dian Yang, Gang Xi’an Aeronautics Computing Technique Research Institute AVIC Xi’an710000 China School of Computer Science Northwestern Polytechnical University Xi’an710072 China

ISBN: (纸本)9789819797738

the Two-Stage-to-Orbit (TSTO) spacecraft can generate complex, unsteady aerodynamic interference during high-speed inter-stage separation, thereby increasing the risk of separation failure. this study explores the complex aerodynamic disturbance characteristics and separation safety across various strategies. A multi-body separation simulation flow, which supports multiple dynamic grid methods, was developed, using a wide-velocity wave rider and a reusable aerospace composite vehicle as the research subjects. Overset grid technology was employed to address the issue of large grid movement between the two stages, while deform mesh technology was utilized to manage the small changes in grid following rudder surface deflection. the flow control equation and the six-degree-of-freedom rigid body dynamics equations were solved by coupling. Dynamic numerical simulations of the separation process under different strategies, such as longitudinal/transverse and rudder plane with/without deflection, were conducted under high-speed flow conditions. the results indicated that the attitude change of the orbital stage during longitudinal separation is more stable compared to transverse separation. the deflection of the flat tail stabilizer of the orbital stage enhanced flight stability during separation, thereby improving the safety of inter-stage separation. © Chinese Society of Aeronautics and Astronautics 2025.

关键词： Mesh generation

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Proceedings - 2012 7th International conference on P2P, parallel, Grid, Cloud and Internet computing, 3PGCIC 2012

Proceedings - 2012 7th International Conference on P2P, Para...

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2012 7th International conference on P2P, parallel, Grid, Cloud and Internet computing, 3PGCIC 2012

the proceedings contain 58 papers. the topics discussed include: load balancing optimization using the algorithm DEPRO in a distributed environment;modeling resource prices in grid markets;MIP model scheduling for BSP parallel applications on multi-cluster environments;analysis of the BitTorrent protocol modified with fountain code;data replication in P2P collaborative systems;large-scale mining of co-occurrences: challenges and solutions;implementing hadoop platform on eucalyptus cloud infrastructure;a data reception method to reduce interruption time for model and motion separated data in P2P streaming environments;distributed systems in the wild: the theoretical foundations and experimental perspectives;parallel perspectives: reverse engineering for generation multi-X;parallel enhanced hybrid evolutionary algorithm for continuous function optimization;and analysis of the BitTorrent protocol modified with multicast.

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PDGC 2022 - 2022 7th International conference on parallel, Distributed and Grid computing

PDGC 2022 - 2022 7th International Conference on Parallel, D...

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7th International conference on parallel, Distributed and Grid computing, PDGC 2022

ISBN: (纸本)9781665454018

the proceedings contain 136 papers. the topics discussed include: a survey paper on computer aided detection of tuberculosis;sentiment analysis approaches, types, challenges, and applications: an exploratory analysis;enigmas in emotion detection techniques tools: challenges and concerns;analysis of apple plant leaf diseases detection and classification: a review;does metaverse a technological revolution in artificial intelligence? a bibliometric analysis;credit card fraud detection using machine learning, deep learning, and ensemble of the both;machine learning based data classification methods in cloud security using cloudlightning framework;parallel chaos hash based LSB steganography technique using logistic map;a review on sentiment analysis of twitter data for diabetes classification and prediction;an analysis of deep learning models for detection of COVID-19 diseases;and engagement measurement of a learner during e-learning: a deep learning architecture.

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Proceedings of PDSW 2022: 7th International parallel Data Systems Workshop, Held in conjunction with SC 2022: the International conference for High Performance computing, Networking, Storage and Analysis

Proceedings of PDSW 2022: 7th International Parallel Data Sy...

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7th IEEE/ACM International parallel Data Systems Workshop, PDSW 2022

ISBN: (纸本)9781665475624

the proceedings contain 5 papers. the topics discussed include: Drishti: guiding end-users in the I/O optimization journey;performance comparison of DAOS and LUSTRE for object data storage approaches;accelerating Flash-X simulations with asynchronous I/O;DenKv: addressing design trade-offs of key-value stores for scientific applications;and BTS: exploring effects of background task-aware scheduling for key-value CSDS.

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