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Polymorphic signal responses of phase-change quantum dot string upon stochastic resonance

Nano research 2025年第2期18卷 717-724页

作者： Qin Wan Fei Zeng Ziao Lu Junwei Yu Feng Pan Key Laboratory of Advanced Materials(MOE) School of Materials Science and EngineeringTsinghua UniversityBeijing 100084China Center for Brain Inspired Computing Research(CBICR) Tsinghua UniversityBeijing 100084China

We successfully constructed phase-change quantum dots string(PCQDS)systems and studied their signal *** PCQDs actually is a cascaded structure consisted of several stochastic resonance(SR)two-state systems,in which inherent non-linearity,i.e.,phase-change of quantum dots(QDs),plays elementary and important roles to modulate signal *** established an SR model to simulate signal responses depending on stimulation *** know that some QDs will oscillate with input forcing frequency,while certain QDs will oscillate in their own frequency triggered by phase *** two effectscooperate togeneratepolymorphic response patterns,including action potential patterns exhibited by envelope of spike peak *** interesting and important simulation is that we replicate the memory effect in Nb-doped AINO,i.e.,a QDs dispersed *** result indicates that memory can occur in a system only constructed by volatile elementary units,implying memory existing in ***-term plasticity and spike-rate dependent plasticity can also be realized by using frequency and phase *** study provides a new scope to study signal handling and memory effect in quantum system.

关键词： quantum-dot string phase-change inherent nonlinearity signal modulation niobium oxide stochastic resonance

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A smart grid computational offloading policy generation method for end-edge-cloud environments

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Journal of Reliable Intelligent Environments 2025年第1期11卷 1-13页

作者： Liu, Weiwei Wang, Yue Xu, Chenxi Zheng, Min State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co. Ltd. Beijing102209 China

With the continuous progress of the Internet of Things (IoT) technology, smart grid has become the key to improve the efficiency of the power system. At present, how to reasonably distribute the massive power computing tasks under the premise of guaranteeing the quality of service is an urgent problem of the current smart grid. Therefore, this paper focuses on the smart grid computation task offloading decision problem based on the collaboration of edge computing and cloud computing. An end-edge-cloud task scheduling model with task execution delay, energy consumption and load balance as optimization objectives is proposed. In addition, the Dyna-Actor Critic (Dyna-AC) algorithm is proposed using Deep Reinforcement Learning (DRL), which integrates the advantages of model-based and model-free learning and optimizes the performance of this algorithm through heuristic sample selection and asynchronous parameter update strategies. Simulation results show that the algorithm is very effective in reducing power business execution delay, terminal energy consumption and improving system load. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.

关键词： Computation offloading

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***: Leveraging HPC Metaprogramming and Performance Portability for Computations That Use Shared Memory GPUs

***: Leveraging HPC Metaprogramming and Performance Portabil...

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2024 IEEE High Performance Extreme computing Conference, HPEC 2024

作者： Valero-Lara, Pedro Godoy, William F. Teranishi, Keita Vetter, Jeffrey S. Advanced Computing Systems Research Section Oak Ridge National Laboratory Oak RidgeTN United States

ISBN: (纸本)9798350387131

In this work, we present ***, a new feature of Julia for ACCelerators (JACC), which is the performanceportable and metaprogramming model of the just-in-time and LLVM-based Julia language. This new feature allows JACC applications to leverage the high-performance computing (HPC) capabilities of high-bandwidth, on-chip GPU memory. Historically, exploiting high-bandwidth, shared-memory GPUs has not been a priority for high-level programming solutions. *** covers that gap for the first time, thereby providing a highlevel, portable, and easy-to-use solution for programmers to exploit this memory and supporting all current major accelerator architectures. Well-known HPC and AI workloads, such as multi/hyperspectral imaging and AI convolutions, have been used to evaluate *** on two exascale GPU architectures hosted by some of the most powerful US Department of Energy supercomputers: Perlmutter (NVIDIA A100) and Frontier (AMD MI250X). The performance evaluation reports speedup of up to 3.5 × by adding only one line of code to the base codes, thus providing important accelerators in a simple, portable, and transparent way and elevating the programming productivity and performance-portability capabilities for Julia/JACC HPC, AI, and scientific applications. © 2024 IEEE.

关键词： Memory architecture

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research progress of quantum artificial intelligence in smart city

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Intelligent and Converged Networks 2024年第2期5卷 116-133页

作者： Sumin Wang Ning Wang Tongyu Ji Yiyun Shi Chao Wang the Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai UniversityShanghai 200444China School of Information Engineering Ganzhou Key Laboratory of Cloud Computing and Big Data ResearchGannan University of Science and TechnologyGanzhou 341000China

The rapid accumulation of big data in the Internet era has gradually decelerated the progress of Artificial Intelligence(AI).As Moore’s Law approaches its limit,it is imperative to break the constraints that are holding back artificial *** computing and artificial intelligence have been advancing along the highway of human civilization for many years,emerging as new engines driving economic and social *** article delves into the integration of quantum computing and artificial intelligence in both research and *** introduces the capabilities of both universal quantum computers and special-purpose quantum computers that leverage quantum *** discussion further explores how quantum computing enhances classical artificial intelligence from four perspectives:quantum supervised learning,quantum unsupervised learning,quantum reinforcement learning,and quantum deep *** an effort to address the limitations of smart cities,this article explores the formidable potential of quantum artificial intelligence in the realm of smart *** does so by examining aspects such as intelligent transportation,urban operation assurance,urban planning,and information communication,showcasing a plethora of practical achievements in the *** the foreseeable future,Quantum Artificial Intelligence(QAI)is poised to bring about revolutionary development to smart *** urgency lies in developing quantum artificial intelligence algorithms that are compatible with quantum computers,constructing an efficient,stable,and adaptive hybrid computing architecture that integrates quantum and classical computing,preparing quantum data as needed,and advancing controllable qubit hardware equipment to meet actual *** ultimate goal is to shape the next generation of artificial intelligence that possesses common sense cognitive abilities,robustness,excellent generalization capabilities,and interpretability.

关键词： quantum artificial intelligence smart city D-Wave quantum computer

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A survey on federated learning:a perspective from multi-party computation

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Frontiers of Computer Science 2024年第1期18卷 93-103页

作者： Fengxia LIU Zhiming ZHENG Yexuan SHI Yongxin TONG Yi ZHANG Institute of Artificial Intelligence and Key Laboratory of Mathematics Informatics Behavioral Semantics Beihang UniversityBeijing 100191China State Key Laboratory of Software Development Environment and Advanced Innovation Center for Future Blockchain and Privacy Computing Beihang UniversityBeijing 100191China Pengcheng Laboratory Shenzhen 518055China Zhongguancun Laboratory Beijing 100190China Institute for Mathematical Sciences and Engineering Research Center of Financial Computing and Digital Engineering Renmin University of ChinaBeijing 100872China

Federated learning is a promising learning paradigm that allows collaborative training of models across multiple data owners without sharing their raw *** enhance privacy in federated learning,multi-party computation can be leveraged for secure communication and computation during model *** survey provides a comprehensive review on how to integrate mainstream multi-party computation techniques into diverse federated learning setups for guaranteed privacy,as well as the corresponding optimization techniques to improve model accuracy and training *** also pinpoint future directions to deploy federated learning to a wider range of applications.

关键词： sfederated learning multi-party ycomputation privacy-preserving data mining distributed learning

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A Survey of Non-Volatile Main Memory File Systems

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Journal of Computer Science & Technology 2023年第2期38卷 348-372页

作者：王盈贾文庆蒋德钧熊劲 State Key Laboratory of Processors Institute of Computing TechnologyChinese Academy of Sciences Beijing 100190China Research Center for Advanced Computer Systems Institute of Computing TechnologyChinese Academy of Sciences Beijing 100190China University of Chinese Academy of Sciences Beijing 100049China

Non-volatile memories(NVMs)provide lower latency and higher bandwidth than block ***,NVMs are byte-addressable and provide persistence that can be used as memory-level storage devices(non-volatile main memory,NVMM).These features change storage hierarchy and allow CPU to access persistent data using load/store ***,we can directly build a file system on ***,traditional file systems are designed based on slow block *** use a deep and complex software stack to optimize file system *** design results in software overhead being the dominant factor affecting NVMM file ***,scalability,crash consistency,data protection,and cross-media storage should be reconsidered in NVMM file *** survey existing work on optimizing NVMM file ***,we analyze the problems when directly using traditional file systems on NVMM,including heavy software overhead,limited scalability,inappropriate consistency guarantee techniques,***,we summarize the technique of 30 typical NVMM file systems and analyze their advantages and ***,we provide a few suggestions for designing a high-performance NVMM file system based on real hardware Optane DC persistent memory ***,we suggest applying various techniques to reduce software overheads,improving the scalability of virtual file system(VFS),adopting highly-concurrent data structures(e.g.,lock and index),using memory protection keys(MPK)for data protection,and carefully designing data placement/migration for cross-media file system.

关键词： non-volatile main memory(NVMM) file system performance scalability crash consistency data protection crossmeida

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Strengthening-softening transition and maximum strength in Schwarz nanocrystals

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Nano Materials Science 2024年第3期6卷 320-328页

作者： Hanzheng Xing Jiaxi Jiang Yujia Wang Yongpan Zeng Xiaoyan Li Center for Advanced Mechanics and Materials Applied Mechanics LaboratoryDepartment of Engineering MechanicsTsinghua UniversityBeijing100084China Institute of High Performance Computing(IHPC) Agency for ScienceTechnology and Research(A*STAR)Singapore138632Singapore

Recently,a Schwarz crystal structure with curved grain boundaries(GBs)constrained by twin-boundary(TB)networks was discovered in nanocrystalline Cu through experiments and atomistic *** Cu with nanosized Schwarz crystals exhibited high strength and excellent thermal ***,the grainsize effect and associated deformation mechanisms of Schwarz nanocrystals remain ***,we performed large-scale atomistic simulations to investigate the deformation behaviors and grain-size effect of nanocrystalline Cu with Schwarz *** simulations showed that similar to regular nanocrystals,Schwarz nanocrystals exhibit a strengthening-softening transition with decreasing grain *** critical grain size in Schwarz nanocrystals is smaller than that in regular nanocrystals,leading to a maximum strength higher than that of regular *** simulations revealed that the softening in Schwarz nanocrystals mainly originates from TB migration(or detwinning)and annihilation of GBs,rather than GB-mediated processes(including GB migration,sliding and diffusion)dominating the softening in regular *** analyses of simulation data further showed that compared with those in regular nanocrystals,the GB-mediated processes in Schwarz nanocrystals are suppressed,which is related to the low volume fraction of amorphous-like GBs and constraints of TB *** smaller critical grain size arises from the suppression of GB-mediated processes.

关键词： Schwarz nanocrystal Curved grain boundary Atomistic simulation Grain size effect Maximum strength

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Machine learning and deep learning tools for the automated capture of cancer surveillance data

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Journal of the National Cancer Institute - Monographs 2024年第65期2024卷 145-151页

作者： Hsu, Elizabeth Hanson, Heidi Coyle, Linda Stevens, Jennifer Tourassi, Georgia Penberthy, Lynne Surveillance Research Program Division of Cancer Control and Population Sciences National Cancer Institute Advanced Computing for Health Sciences Computing and Computational Sciences Directorate Oak Ridge National Laboratory Information Management Services Inc Computing and Computational Sciences Directorate Oak Ridge National Laboratory

The National Cancer Institute and the Department of Energy strategic partnership applies advanced computing and predictive machine learning and deep learning models to automate the capture of information from unstructured clinical text for inclusion in cancer registries. Applications include extraction of key data elements from pathology reports, determination of whether a pathology or radiology report is related to cancer, extraction of relevant biomarker information, and identification of recurrence. With the growing complexity of cancer diagnosis and treatment, capturing essential information with purely manual methods is increasingly difficult. These new methods for applying advanced computational capabilities to automate data extraction represent an opportunity to close critical information gaps and create a nimble, flexible platform on which new information sources, such as genomics, can be added. This will ultimately provide a deeper understanding of the drivers of cancer and outcomes in the population and increase the timeliness of reporting. These advances will enable better understanding of how real-world patients are treated and the outcomes associated with those treatments in the context of our complex medical and social environment. © 2024 Published by Oxford University Press.

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An Approach to Monitor Urban Growth through Deep Learning based Change Detection Technique using Sentinel-2 Satellite Images 10

An Approach to Monitor Urban Growth through Deep Learning ba...

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17th INDIACom;2023 10th International Conference on computing for Sustainable Global Development, INDIACom 2023

作者： Srivastava, Saurabh Ahmed, Tasneem Integral University Advanced Computing Research Laboratory Department of Computer Application Uttar Pradesh Lucknow India

ISBN: (纸本)9789380544472

Urbanization, which refers to the growth of a city or a built-up region, is the process of transitioning from rural to urban regions. Urbanization is primarily brought on by natural population expansion, rural-to-urban migration, and annexation. Urban monitoring is the practice of observing and quantifying stability or change over a range of timescales inside cities. In addition to being a useful tool for studying the Earth's surface, satellite images may also be used to estimate different aspects behind rapid urbanization. Sentinel-2 images from 2017 to 2022 are utilised in this paper to assess the urban development in Lucknow, the Indian city of Uttar Pradesh's state. Hence, image indices like normalized difference built-up index (NDBI), normalized difference vegetation index (NDVI), and built-up index (BUI) extracted from Senitnel-2 images are utilized to classify the various land cover classes by applying the supervised classification technique. The classified images are further used to measure the urban areas and a deep learning-based change detection approach has been developed to detect the changes in urban areas that have been transformed into urban areas from agriculture or other areas. After conducting a critical analysis of change areas, it is observed that 52% of positive changes have been observed in urban areas, which shows that a large area has been transformed from non-urban to urban areas during the assessment period. In the future, an efficient and accurate urban monitoring system can be developed by using the proposed approach to establish sustainable and planned urban areas. © 2023 Bharati Vidyapeeth, New Delhi.

关键词： Urban growth

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research on LLM Method for Knowledge-Assisted Generation of Power Standards

Renewable Energy and Power Quality Journal

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Renewable Energy and Power Quality Journal 2024年第6期22卷 168-178页

作者： Fan, Xiaoxuan Zhang, Sai Liang, Xiao Wang, Zhihao Peng, Tao State Grid Laboratory of Grid Advanced Computing and Applications China Electric Power Research Institute Co. Ltd Beijing China State Grid Jiangsu Electric Power Co. Ltd Nanjing China

With the rapid development of large language models, their application in various industries is becoming more and more common, especially in the power sector. Electricity power standard knowledge, as an industry specification for electric power equipment, engineering construction and operation management, can guide product production and engineering practice to improve production efficiency and quality level. In order to help solve the problem of low efficiency of electric power standard knowledge supply and assist the generation of electric power standard knowledge, we proposes an electric standard knowledge auxiliary generation method based on retrieval enhancement generation, which uses the retrieval model and evaluation model to provide large language model with accurate external knowledge, and then uses the generation model to provide a more efficient and accurate solution for the generation of standard knowledge in the electric industry. The experimental results indicate that the approach introduced in this paper can effectively generate accurate electricity-related knowledge and holds significant practical value. © 2024, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

关键词： Knowledge generation Knowledge-assisted Large language model Power standards knowledge Retrieval

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