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检索条件"任意字段=14th International Conference on Field-Programmable Logic and Applications"

共 3172 条记录，以下是141-150 订阅

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Meta-Heuristic Optimization of Custom Heterogeneous Blocks Defined eFPGA Design

Meta-Heuristic Optimization of Custom Heterogeneous Blocks D...

引用

international conference on VLSI Design

作者： D V Bhargav G Pradyumna Madhav Rao IIIT Bangalore

ISBN: (数字)9798331522445

ISBN: (纸本)9798331522452

Modern field-programmable Gate Arrays (FPGAs) are highly versatile, with reconfigurable logic functionality that allows designers to create custom designs. Unlike traditional fixed-function integrated circuits, FPGAs are reconfigured multiple times to perform different tasks, making them ideal for various applications. An Embedded FPGA (eFPGA) takes the concept of an FPGA and integrates it as an IP core within a larger System-on-Chip (SoC) or Application-Specific Integrated Circuit (ASIC). the proposed work employs Non-dominated Sorting Genetic Algorithm-II (NSGA-II) to evolve efficient and high-performing eFPGA architectures with reduced critical path delay and power defined by a sufficient number of Configurable logic Blocks (CLBs), custom Digital Signal Processors (DSPs) and Block RAM (BRAMs) for targetting workload under consideration. As a result, this work presents a well-balanced eFPGA architecture layout obtained for four workloads equipped with different numbers of heterogeneous and configurable logic blocks. the results showed a significant improvement of 44.62% in hardware parameters.

关键词： Layout Metaheuristics Digital signal processors Signal processing algorithms Computer architecture Silicon Fabrics logic IP networks field programmable gate arrays

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FlexWalker: An Efficient Multi-Objective Design Space Exploration Framework for HLS Design

FlexWalker: An Efficient Multi-Objective Design Space Explor...

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international conference on field programmable logic and applications

作者： Zheyuan Zou Cheng Tang Lei Gong Chao Wang Xuehai Zhou School of Computer Science and Technology University of Science and Technology of China School of Software Engineering University of Science and Technology of China

ISBN: (数字)9798331530075

ISBN: (纸本)9798331530082

the HLS toolchain effectively reduces the design complexity of FPGA hardware accelerators. However, in scenarios involving the multi-objective optimization of large-scale HLS designs, determining the knob configurations of Pareto design points remains a challenging task for designers. Our work re-evaluates the key factors affecting the efficiency of multiobjective design space exploration in HLS design and proposes an efficient framework named FlexWalker. It utilizes the upper confidence bound algorithm to organize various heterogeneous regression models for predicting the quality of HLS designs with different knob configurations in the design space and introduces a probability sampling algorithm and an elastic Pareto frontier to counteract the negative impact of regression model errors. Experimental results show that our work can stably eliminate over 90% of non-Pareto frontier design points in the tested HLS design space, effectively enhancing the efficiency of multiobjective design space exploration.

关键词： Predictive models Prediction algorithms Space exploration Complexity theory logic Optimization Hardware acceleration field programmable gate arrays

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14th international conference on New Developments and applications in Optical Radiometry, NEWRAD 2021

14th International Conference on New Developments and Applic...

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14th international conference on New Developments and applications in Optical Radiometry, NEWRAD 2021

the proceedings contain 18 papers. the topics discussed include: angular responsivity of ground and space-based direct solar irradiance radiometers;stray-light correction methodology for the precision solar spectroradiometer;a simple method of UV stray light correction for field spectrometers in ground validation sites;advancements in NRC's primary spectral irradiance scale realization;calibration of a modular trap detector system towards a new realization of the luminous intensity unit;novel LED-based radiation source and its application in diffuse reflectometry and polarization measurements;and characterization of bidirectional transmissive and reflective properties of black silicon.

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A Hardware Efficient Real-time Video processing on FPGA with OV 7670 camera interface and VGA 6

A Hardware Efficient Real-time Video processing on FPGA with...

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6th international conference on Electronics, Communication and Aerospace Technology, ICECA 2022

作者： Navaneethan, S. thanusha, Chenimineni Varshini, M. Amirdha Anil, Ankireddygari Saveetha Engineering College Dept. of Ece Chennai India

ISBN: (纸本)9781665482714

the aim of this work is to develop a video processing system with efficient hardware resource using a field programmable gate array (FPGA). the FPGA board contains several resources that may be implemented on both hardware and software platforms. Real-time video processing necessitates high-consuming logic resources, and fpga is an excellent choice for video processing applications. In this work, Omni vision (OV) 7670 and Video graphics array (VGA) interfaces with FPGA for video processing system. the tools utilized here are Xilinx Vivado and Verilog HDL to develop the system. the proposed video processing system implemented in Spartan 6 &Artix -7 FPGA which provides 530 slice registers. © 2022 IEEE.

关键词： field programmable gate arrays (FPGA)

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Advanced Artificial Intelligence Methods for Medical applications 14th

Advanced Artificial Intelligence Methods for Medical Applica...

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14th international conference on Digital Human Modeling and applications in Health, Safety, Ergonomics and Risk Management (DHM) Held as Part of the 25th international conference on Human-Computer Interaction (HCII)

作者： Siriborvornratanakul, thitirat Natl Inst Dev Adm NIDA Grad Sch Appl Stat 148 SeriThai Rd Bangkok 10240 Thailand

ISBN: (纸本)9783031357473;9783031357480

Although analyzing high-stakes medical images is challenging, it is what recent deep neural networks quite excel at. Noticing that there are still many concerns regarding the adoption of vision AI-based digital human models in actual medical practices, this paper goes through challenges that occur in each development stage of vision AI in medical applications. Focusing on modeling patients' internal organisms via medical imaging, we found that most existing vision-based AI systems share similar challenges, ranging from huge computational resources, laborious data annotation, domain shifting, and unexplainability. Data collection in this era of data privacy law is another challenge that is rarely discussed in previous works conducting technical implementations of deep neural networks. In the end, our conclusion is that leading researchers in deep neural networks tend to put more concern into introducing techniques that allow newer, bigger, and more precise networks to be easily trained and evaluated based on some quantitative evaluation metrics. Meanwhile, physicians and data protection laws seem to hold a different concern regarding qualitative issues about how to make these deep networks trustworthy, ethical, and able to explain their decisions as well as underneath logic in a meaningful manner.

关键词： digital human model artificial intelligence computer vision deep neural network medical imaging

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Hardware Design of Gaussian Kernel Function for Non-Linear SVM Classification 14

Hardware Design of Gaussian Kernel Function for Non-Linear S...

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14th IEEE international conference on ASIC, ASICON 2021

作者： Wang, Yuanfa Pang, Yu Huang, Huan Zhou, Qianneng Luo, Jiasai Chongqing University of Posts and Telecommunications Department of Microelectronics Chongqing400065 China

ISBN: (纸本)9781665411493

High-performance implementation of non-linear support vector machine (SVM) function is important in many applications. this paper develops a hardware design of Gaussian kernel function with high-performance since it is one of the most modules in non-linear SVM. the designed Gaussian kernel function consists of Norm unit and exponentiation function unit. the Norm unit uses fewer subtractors and multiplexers. the exponentiation function unit performs modified coordinate rotation digital computer algorithm with wide range of convergence and high accuracy. the presented circuit is implemented on a Xilinx field-programmable gate array platform. the experimental results demonstrate that the designed circuit achieves low resource utilization and high efficiency with relative error 0.0001. © 2021 IEEE.

关键词： field programmable gate arrays (FPGA)

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A Heterogeneous Acceleration System for Attention-Based Multi-Agent Reinforcement Learning

A Heterogeneous Acceleration System for Attention-Based Mult...

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international conference on field programmable logic and applications

作者： Samuel Wiggins Yuan Meng Mahesh A. Iyer Viktor Prasanna Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Intel Corporation

ISBN: (数字)9798331530075

ISBN: (纸本)9798331530082

Multi-Agent Reinforcement Learning (MARL) is an emerging technology that has seen success in many AI applications. Multi-Actor-Attention-Critic (MAAC) is a state-of-the-art MARL algorithm that uses a Multi-Head Attention (MHA) mechanism to learn messages communicated among agents during the training process. Current implementations of MAAC using CPU and CPU-GPU platforms lack fine-grained parallelism among agents, sequentially executing each stage of the training loop, and their performance suffers from costly data movement involved in MHA communication learning. In this work, we develop the first high-throughput accelerator for MARL with attention-based communication on a CPU-FPGA heterogeneous system. We alleviate the limitations of existing implementations through a combination of data- and pipeline-parallel modules in our accelerator design and enable fine-grained system scheduling for exploiting concurrency among heterogeneous resources. Our design increases the overall system throughput by $4.6 \times$ and $4.1 \times$ compared to CPU and CPU-GPU implementations, respectively.

关键词： Training Concurrent computing Scheduling algorithms Reinforcement learning Computer architecture Parallel processing throughput logic field programmable gate arrays Multi-agent systems

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SciMRC: Multi-perspective Scientific Machine Reading Comprehension 30

SciMRC: Multi-perspective Scientific Machine Reading Compreh...

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Joint 30th international conference on Computational Linguistics and 14th international conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Zhang, Xiao Zheng, Heqi Nie, Yuxiang Huang, Heyan Mao, Xian-Ling School of Computer Science and Technology Beijing Institute of Technology China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications China Southeast Academy of Information Technology Beijing Institute of Technology China State Grid Smart Grid Research Institute Co. Ltd. China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong

ISBN: (纸本)9782493814104

Scientific Machine Reading Comprehension (SMRC) aims to facilitate the understanding of scientific texts through human-machine interactions. While existing dataset has significantly contributed to this field, it predominantly focus on single-perspective question-answer pairs, thereby overlooking the inherent variation in comprehension levels among different readers. To address this limitation, we introduce a novel multi-perspective scientific machine reading comprehension dataset, SciMRC, which incorporates perspectives from beginners, students, and experts. Our dataset comprises 741 scientific papers and 6,057 question-answer pairs, with 3,306, 1,800, and 951 pairs corresponding to beginners, students, and experts respectively. Extensive experiments conducted on SciMRC using pre-trained models underscore the importance of considering diverse perspectives in SMRC and highlight the challenging nature of our scientific machine comprehension tasks. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Natural language processing systems

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Research on Anthocyanin-Based Indicator Labels and the Freshness Preservation applications 1

引用

14th China Academic conference on Printing and Packaging, CACPP 2023

作者： Chen, Yiyang Liu, Hui Yang, Dan Fu, Yabo Shi, Jiazi School of Printing and Packaging Engineer Beijing Institute of Graphic Communication Beijing China

ISBN: (数字)9789819999552

ISBN: (纸本)9789819999545

To summarize the research and progress in the preparation of anthocyanin indicator labels and their application in food freshness monitoring. Relevant domestic and international literature is reviewed and organized, and different research results are summarized and compared. the factors influencing the performance of anthocyanins and the principle of pH-responsive color change are reviewed. the preparation methods and performance influencing mechanisms of composite films, and their research progress in food preservation applications are outlined. Anthocyanins have antioxidant, antibacterial, and pH-responsive properties for food freshness monitoring applications. the intermolecular forces between the components of the indicator label, such as hydrogen bonding and other effects on the properties of the label such as mechanical strength have a significant impact. the anthocyanin indication label has good application effect in the field of food freshness indication, and the research on antioxidant, antimicrobial activity and intelligence of color indication needs further depth, and the future development should not be underestimated. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Anthocyanins

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Formalizing Norm Extensions and applications to Number theory 14

Formalizing Norm Extensions and Applications to Number Theor...

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14th international conference on Interactive theorem Proving, ITP 2023

作者： de Frutos-Fernández, María Inés Imperial College London United Kingdom Universidad Autónoma de Madrid Spain

ISBN: (纸本)9783959772846

the field R of real numbers is obtained from the rational numbers Q by taking the completion with respect to the usual absolute value. We then define the complex numbers C as an algebraic closure of R. the p-adic analogue of the real numbers is the field Qp of p-adic numbers, obtained by completing Q with respect to the p-adic norm. In this paper, we formalize in Lean 3 the definition of the p-adic analogue of the complex numbers, which is the field Cp of p-adic complex numbers, a field extension of Qp which is both algebraically closed and complete with respect to the extension of the p-adic norm. More generally, given a field K complete with respect to a nonarchimedean real-valued norm, and an algebraic field extension L/K, we show that there is a unique norm on L extending the given norm on K, with an explicit description. Building on the definition of Cp, we formalize the definition of the Fontaine period ring BHT and discuss some applications to the theory of Galois representations and to p-adic Hodge theory. the results formalized in this paper are a prerequisite to formalize Local Class field theory, which is a fundamental ingredient of the proof of Fermat's Last theorem. © María Inés de Frutos-Fernández;licensed under Creative Commons License CC-BY 4.0 14th international conference on Interactive theorem Proving (ITP 2023)

关键词： Number theory

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