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Blind Spot Detection System Merging Scene Data Analysis 5

Blind Spot Detection System Merging Scene Data Analysis

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5th international conference on Computers, Information processing and Advanced Education, CIPAE 2024

作者： Li, Kai Kong, Lingming Shao, Xuebin Zhang, Cheng Xi, Ruixuan Zhen, Kai Qi, Yunpeng Co. Ltd. Tianjin China

ISBN: (纸本)9798331527662

Blind Area Detection System (BSD) plays a positive role in reducing the occurrence of car accidents. In this paper, the test data of 15 vehicles passing through the C-NCAP (2021 edition) BSD C2C parallel road scene are selected, and the box diagram is used for statistical analysis. It is found that the alarm time TTC of most vehicles equipped with BSD system is reasonable at present, which plays a safety warning role and will not cause too much discomfort to users. However, the alarm timing of the BSD system of a few vehicles is not suitable enough, which still needs to be improved. In addition, when the lateral distance between the target vehicle and the own vehicle is too close, the BSD system should adopt a more urgent alarm mode to remind. © 2024 IEEE.

关键词： blind spot detection system box diagram C-NCAP parallel track TTC

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2023 5th international conference on Intelligent Control, Measurement and Signal processing, ICMSP 2023

2023 5th International Conference on Intelligent Control, Me...

引用

5th international conference on Intelligent Control, Measurement and Signal processing, ICMSP 2023

ISBN: (纸本)9798350336030

the proceedings contain 251 papers. the topics discussed include: an error estimation method for cooperative detection based on Bayesian posterior;safety detection of fiber grating anchor sensors based on dual-strategy combination optimization;an improved high frequency sine wave injection permanent magnet synchronous motor sensorless control;research on blanket eddy current testing in the structural deformation test;weak maneuvering target detection using cost-reference particle filter bank;a new parallel cascade pulse emission technique based on avalanche triodes;data processing method for ultrasonic draft detection of inland river ship;nondestructive testing of steel wire rope inside elevator drawn steel belt;study on seepage velocity detection technology of tailings pond;research on wideband testing platform and device for magnetic sensitive sensors;weak current signal detection device based on embedded system;influence of mountain topography on receiver layout in transient electromagnetic method;quality-related fault detection based on dynamical-improved canonical correlation analysis;and simulation study on range and tilt angle detection based on air-coupled leaky lamb wave.

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PEbfs: Implement High-Performance Breadth-First Search on PEZY-SC3s 24th

PEbfs: Implement High-Performance Breadth-First Search on P...

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24th international conference on algorithms and architectures for parallel processing, ICA3PP 2024

作者： Guo, Weihao Wang, Qinglin Liu, Xiaodong Peng, Muchun Yang, Shun Liang, Yaling Shi, Yongzhen Cao, Ligang Liu, Jie Laboratory of Digitizing Software for Frontier Equipment National University of Defense Technology Changsha410073 China National Key Laboratory of Parallel and Distributed Computing National University of Defense Technology Changsha410073 China Engineering Research Center for National Fundamental Software National University of Defense Technology Changsha410073 China

ISBN: (纸本)9789819615506

the breadth-first search (BFS) algorithm is a fundamental algorithm in graph theory, and it’s parallelization can significantly improve performance. therefore, there have been numerous efforts to leverage the powerful parallel computing capabilities of hardware like GPGPU to implement high-performance BFS algorithms. However, the energy efficiency is relatively low due to the high power consumption of the platforms on which the algorithm is adapted to. To deal with these challenges, this paper introduces PEbfs that is a high-performance BFS algorithm based on the PEZY-SC3s efficient processor. We integrated three search algorithms, two algorithm optimization strategies, and a directional optimization scheme into PEbfs. through multiple evaluations of the performance of PEbfs on the public SNAP dataset, the results demonstrate that the average energy efficiency ratio of PEbfs is higher than that of Enterprise and Tigr, the two most advanced implementations on Nvidia’s GPGPU: It achieves 3.08× the average energy efficiency ratio of Enterprise and 4.53× that of Tigr. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Optimization algorithms

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Towards Benchmarking GNSS algorithms on FPGA using SyDR 13

Towards Benchmarking GNSS Algorithms on FPGA using SyDR

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13th international conference on Localization, Navigation and GNSS (ICL-GNSS)

作者： Grenier, Antoine Damsgaard, Hans Jakob Lei, Jie Quintana-Orti, Enrique S. Ometov, Aleksandr Lohan, Elena Simona Nurmi, Jari Tampere Univ Elect Engn Unit Tampere Finland Univ Politecn Valencia Parallel Architectures Grp Valencia Spain

ISBN: (纸本)9798350323085

Global Navigation Satellite System (GNSS) is widely used today for both positioning and timing purposes. Many distinct receiver chips are available off-the-shelf, each tailored to match various applications' requirements. Being implemented as Application-Specific Integrated Circuits, these chips provide good performance and low energy consumption but must be treated as "black boxes" by customers. this prevents modification, research in GNSS processing chain enhancement (e.g., application of Approximate Computing techniques), and design-space exploration for finding the optimal receiver implementation per each use case. In this paper, we review the development of SyDR, an open-source Software-Defined Radio oriented towards benchmarking of GNSS algorithms. Specifically, our goal is to integrate certain components of the GNSS processing chain in a Field-Programmable Gate Array and manage their operation with a Python program using the Xilinx PYNQ flow. We present the early steps of converting parts of SyDR to C, which will be later converted to Hardware Description Language descriptions using High-Level Synthesis. We demonstrate successful conversion of the tracking process and discuss benefits and drawbacks arising thereof, before outlining next steps in preparation for hardware implementation.

关键词： Benchmarking Computational complexity Field-programmable gate array (FPGA) Global Navigation Satellite System (GNSS) Open-source software

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A Heterogeneous KBA parallel Algorithm for the Cartesian Discrete Ordinates for Multizone Heterogeneous System 8

A Heterogeneous KBA Parallel Algorithm for the Cartesian Dis...

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8th international conference on Computer and Communication Systems, ICCCS 2023

作者： Li, Runhua Liu, Jie National University of Defense Technology Science and Technology on Parallel and Distributed Processing Laboratory Changsha China

ISBN: (纸本)9781665456128

Innovations in powerful high-performance computing (HPC) architecture are enabling high-fidelity whole-core neutron transport simulations at reasonable time. Especially, the currently fashionable heterogeneous architectures make the cost of such simulations at very low level. Neutron distribution of a reactor core is governed by the Boltzmann neutron transport equation (BTE), first viable solutions of which need tremendous computer resources. Among of the high-fidelity numerical methods, the discrete ordinates method (SN) is becoming popular in the reaction design community by taking a good balance between computational cost and accuracy. Recently, MT-3000, which is a multizone heterogeneous architecture with a peak double precision performance of 11.6 TFLOPS, is proposed. In this work, the BTE is solved by the SN with heterogenous Koch-Baker-Alcouffe (KBA) parallel algorithms based on the MT-3000 architecture. A communication mechanism has been established to efficiently transmit data among the acceleration cores and the CPU cores. the kernel computation procedure is largely accelerated by the vectorization and instruction pipelining techniques. Numerical experiments show that our formulation could achieve 1.37 TFLOPs with single MT-3000, that is 11.8% of its peak performance. © 2023 IEEE.

关键词： parallel algorithms

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5th EAI international conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024

5th EAI International Conference on Cognitive Computing and ...

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5th EAI international conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024

ISBN: (纸本)9783031770777

the proceedings contain 102 papers. the special focus in this conference is on Cognitive Computing and Cyber Physical Systems. the topics include: Comparative Analysis Between Fuzzy theorem and KNN Methodology for Fault and Anomaly Detection;Production Classification in E-Commerce Based on Product Descriptions with Natural Language processing (NLP) and Machine Learning Models;defense Strategy Security Mechanism for Sensor Networks;an Efficient Approach for Food Demand Forecasting Using an Ensemble Technique and Statistical Analysis;identification of Different Medicinal Plants Using Machine Learning and Image processing;Leveraging the Power of MRMR in Machine Learning Models for Multi Class Classification of Rice to Promote Sustainable and Efficient Smart Farming;performance Analysis of Word Recognition System Using Tensor Flow;A Distinct Artificial Feed Forward Neural Network (AF2NN) Model for Predicting Compressive Strength of Geo-Polymer Concrete;Performance Assessment of Deep Learning-Models for Kidney Tumor Segmentation using CT Images;investigation of Quantum Machine Learning for Smart Eco System Focusing on Energy Optimization;Classification of Skin Cancer Using CNN with Transformer Layer;a Unified Approach to Smart Coconut Farming with IoT and Deep Learning for Recommendation of Pesticides and Fertilizers;classifying the Severity of Diabetic Retinopathy Using Deep Learning;Exploring Prominent Convolutional Neural Network Frameworks to Identify COVID-19 Deceases by Using Medical Images;non-invasive Technique for Detecting Glycosuria through Image processing and Deep Learning Approaches;deep Learning Strategies for Multiclass Skin Disease Classification;AI-Driven Glaucoma Susceptibility Assessment and Lifestyle Guidance;Deep Learning in Cartoon Moderation: Distinguishing Child-Friendly Content with CNN architectures;thz Wideband Metamaterial Absorber for Different Applications.

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Proceedings of international Workshop on OpenCL and SYCL, IWOCL 2024

Proceedings of International Workshop on OpenCL and SYCL, IW...

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12th international Workshop on OpenCL and SYCL, IWOCL 2024

ISBN: (纸本)9798400717901

the proceedings contain 22 papers. the topics discuss include: towards efficient OpenCL pipe specification for hardware accelerators;SimSYCL: a SYCL implementation targeting development, debugging, simulation and conformance;experiences with implementing Kokkos’ SYCL backend;optimization and evaluation of breadth first search with oneAPI/SYCL on Intel FPGAs: from describing algorithms to describing architectures;improving performance portability of the procedurally generated high energy physics event generator MadGraph using SYCL;unlocking performance portability on LUMI-G supercomputer: a virtual screening case study;evaluation of SYCL’s different data parallel kernels;smoothing the migration from CUDA to SYCL: SYCLomatic utility features;and optimization of fast Fourier transform (FFT) for Qualcomm Adreno graphics processing unit.

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5th EAI international conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024

5th EAI International Conference on Cognitive Computing and ...

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5th EAI international conference on Cognitive Computing and Cyber Physical Systems, IC4S 2024

ISBN: (纸本)9783031770807

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Optimized FPGA architectures for High-Speed NTT Computation 5

Optimized FPGA Architectures for High-Speed NTT Computation

引用

5th IEEE international conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2025

作者： Lekkala, Chetan Harsha Bharatula, Sitadevi Reddy, B. Naresh Kumar Sarangam, K. Amrita School of Engineering Department of Ece Chennai India

ISBN: (纸本)9798350356236

this research paper aims to enhance the performance of Number theoretic Transform (NTT) operations in cryptographic applications by leveraging the flexibility and parallel processing capabilities of Field Programmable Gate Arrays (FPGAs). NTT, integral to many cryptographic algorithms, often faces real-time performance challenges due to computational demands. By implementing NTT on FPGAs, this approach introduces features such as parallelism, pipelining, and dynamic memory management, significantly improving computational efficiency. the proposed architecture, utilizing 8T SRAM on the AMD Kintex 7 FPGA KC705 Kit, optimizes memory bandwidth and polynomial multiplication, resulting in a robust, high-speed implementation suitable for real-time cryptographic tasks. Simu-lation results demonstrate substantial performance gains, offering a valuable framework for future cryptographic hardware designs. © 2025 IEEE.

关键词： Probabilistic logics

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14th international conference on parallel processing and Applied Mathematics, PPAM 2022

14th International Conference on Parallel Processing and App...

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14th international conference on parallel processing and Applied Mathematics, PPAM 2022

ISBN: (纸本)9783031304415

the proceedings contain 77 papers. the special focus in this conference is on parallel processing and Applied Mathematics. the topics include: Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs;Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-parallel Applications;Cost and Performance Analysis of MPI-Based SaaS on the Private Cloud Infrastructure;building a Fine-Grained Analytical Performance Model for Complex Scientific Simulations;evaluation of Machine Learning Techniques for Predicting Run Times of Scientific Workflow Jobs;Smart Clustering of HPC Applications Using Similar Job Detection Methods;distributed Work Stealing in a Task-Based Dataflow Runtime;task Scheduler for Heterogeneous Data Centres Based on Deep Reinforcement Learning;Shisha: Online Scheduling of CNN Pipelines on Heterogeneous architectures;General Framework for Deriving Reproducible Krylov Subspace algorithms: BiCGStab Case;proactive Task Offloading for Load Balancing in Iterative Applications;language Agnostic Approach for Unification of Implementation Variants for Different Computing Devices;high Performance Dataframes from parallel processing Patterns;global Access to Legacy Data-Sets in Multi-cloud Applications with Onedata;MD-Bench: A Generic Proxy-App Toolbox for State-of-the-Art Molecular Dynamics algorithms;Breaking Down the parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software;GPU-Based Molecular Dynamics of Turbulent Liquid Flows with OpenMM;a Novel parallel Approach for Modeling the Dynamics of Aerodynamically Interacting Particles in Turbulent Flows;reliable Energy Measurement on Heterogeneous Systems–on–Chip Based Environments;distributed Objective Function Evaluation for Optimization of Radiation therapy Treatment Plans;a Generalized parallel Prefix Sums Algorithm for Arbitrary Size Arrays;GPU4SNN: GPU-Based Acceleration for Spiking Neural Network Simulations;Ant System Inspired Heuristic Optimization of UAVs Depl

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