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International Conference on Transparent Optical Networks

作者： Apostolos Siokis Konstantinos Christodoulopoulos Emmanouel Varvarigos Computer Engineering and Informatics Department University of Patras Greece

ISBN: (纸本)9781479956029

Photonic solutions are penetrating the lowest levels of the packaging hierarchy of Data Centers (DC) and high-performance computing (HPC) systems (board-to-board, chip-to-chip, intra-chip), as a solution for the increased bandwidth demands and to avoid an explosion in energy consumption. To fully exploit their offered benefits, HPC and DCs architectures need to be reconsidered. In this paper we focus on the on-OPCB (optical printed circuit board) packaging level and describe a lay-out strategy for direct interconnection networks. We also outline a methodology for on-OPCB interconnection network design that takes as input a set of packaging and required performance parameters and incorporates our proposed lay-out strategy. We apply our OPCB designing methodology, using realistic parameters, to highlight potential bottlenecks and to explore the benefits of photonic technological advancements (namely, smaller bending radiuses, crossing angles and chip footprints).

关键词： optical printed circuit board (OPCB) optical interconnects topology layout direct networks interconnection networks design methodology

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TL-AGRO: Transfer Learning-based Perilous Insect Detection Framework for Smart Agriculture Underlying Edge computing

TL-AGRO: Transfer Learning-based Perilous Insect Detection F...

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Intelligent Technologies (CONIT), International Conference on

作者： Fenil Ramoliya Krisha Darji Riya Kakkar Rajesh Gupta Sudeep Tanwar Smita Agrawal Department of Comp. Sci. & Engg Institute of Technology Nirma University Ahmedabad India

ISBN: (数字)9798350349900

ISBN: (纸本)9798350349917

Remote sensing (RS) technology has revolutionized agriculture by harnessing advanced satellites with exceptional temporal and spatial resolution capabilities. these satellites capture Earth’s emitted energy and employ specialized sensors for data collection. Pre-processing techniques refine this data, which is seamlessly integrated into the Edge Device TL-AGRO AI system, transforming precision agriculture. Simultaneously, Unmanned Aerial Vehicles (UAVs) have become vital tools, capturing high-resolution data for plant ecology and Perilous farm insect detection. Our proposed framework TL-AGRO is an advanced agricultural analytics method that leverages meticulously preprocessed data to make precise predictions. It detects insects on agricultural properties and provides accurate classification using CNN architectures, such as Visual Geometry Group 16 (VGG16), Xception Version 2 (XceptionV2), Residual Network 50 Version 2 (ResNet50V2), and Mobile Network Version 2 (MobileNetV2). Integration of coordinated alert system offers timely recommendations and warnings, empowering farmers to make informed decisions and mitigate insect-related risks. TL-AGRO can even identify individual insect infestations and recommend suitable pesticides, revolutionizing farming with an integrated framework that enhances productivity and sustainability. performance evaluation of TL-AGRO includes various metrics such as accuracy and loss curves, confusion matrix, F1-score, recall and precision, demonstrating its effectiveness in advancing smart agriculture and ecological studies.

关键词： Smart agriculture Visualization Accuracy Satellites Insects Transfer learning computer architecture

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Modulation Recognition of the OFDM Signals in the UAV-RIS Based AI-enabled 6G Network for Smart Agriculture

Modulation Recognition of the OFDM Signals in the UAV-RIS Ba...

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International Bhurban Conference on Applied Sciences & Technology, IBCAST

作者： Adil Sheraz Muhammad Farrukh Shahid Zuhaib Ashfaq Khan Tariq Jamil. S. Khanzada Department of Computer Science FAST-NUCES Karachi Pakistan Department of Electronic and Communication Engineering (ECE) School of Architecture Technology and Engineering (ATE) University of Brighton UK Department of Information Systems Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia Computer Systems Engineering Department Mehran UET Jamshoro Pakistan

ISBN: (数字)9798350308259

ISBN: (纸本)9798350308266

the integration of artificial intelligence (AI) and 6G networks aims to enhance agricultural applications by enabling adaptive and efficient communication systems. Fusing the potential and strengths of machine learning (ML) technology and the high-speed, low-latency communication capabilities of 6G networks, we can create intelligent farming systems that can enhance productivity, reduce resource wastage, and ensure sustainable agricultural practices. To tackle resource wastage and power efficiency of 6G-enabled devices, we present an AI-based solution that utilizes pre-trained Deep Learning (DL) models to classify Orthogonal Frequency Division Multiplexing (OFDM) modulated Quadrature Amplitude Modulation (QAM) signals. the proposed approach involves recognizing signals based on the classification results at the receiving nodes, prompting them to switch their radio modulation schemes to options such as 4-QAM, 16-QAM, and 64-QAM. Taking advantage of DL models for QAM classification and dynamically adjusting modulation schemes, the proposed solution can optimize resource utilization, improve data transmission quality, and enhance overall network performance in agricultural applications. We used pre-trained ResNet50, MobileNetV2, and a scratch CNN model. Our results show that pretrained models performed better than scratch CNN models and demonstrate the feasibility of using pretrained DL models for modulation scheme classification, offering promising opportunities for the development of adaptive and intelligent agricultural systems.

关键词： 6G mobile communication Smart agriculture Adaptation models Adaptive systems Quadrature amplitude modulation OFDM Modulation Switches Resource management Residual neural networks

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Design Challenges and Methodologies in 3D Integration for Neuromorphic computing Systems

Design Challenges and Methodologies in 3D Integration for Ne...

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International symposium on Quality Electronic Design

作者： M. Amimul Ehsan Hongyu An Zhen Zhou Yang Yi Department of Electrical Engineering and Computer Science University of Kansas Intel Corporation

ISBN: (纸本)9781509012145

Neuromorphic computing is an emerging technology that describes the biological neural systems and implementation of its electrical model in complementary metal-oxide-semiconductor (CMOS) VLSI systems. As the neural networks are wire dominated complicated system with myriad interconnected elements, it requires massively parallel processing for the computational task. However, the hardware implementation experiences some critical challenges and unsurmountable obstacles by using 2D planar circuits. therefore, the potential three dimensional integration technology can be applied in hardware implementation of neuromorphic computing that provides a sustainable and promising alternative to the existing conventional integrated circuit (IC) technology by allowing vertical stacking of dies. 3D hardware interconnection between the neural layers not only offer high device interconnection density with greater reduction in parasitic, it also provides improved channel bandwidth using fast and energy efficient links with excellent distribution and communication among the neuron layers. Beyond these opportunities, it needs a thorough investigation to explore all the design issues and critical challenges for successful implementation of 3D neuromorphic computation for high performance application. In this work, we studied the design challenges of the 3D integration technology for neuromorphic computing systems, and possible ways to overcome the limitation of well-connected synaptic system.

关键词： Neuromorphic computing three Dimensional Integrated Circuit CMOS Modeling Simulations

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Resilient Optical Inter-Data-Center Network Design

Resilient Optical Inter-Data-Center Network Design

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International Conference on Transparent Optical Networks

作者： Burak Kantarci Hussein T. Mouftah University of Ottawa School of Electrical Engineering and Computer Science Ottawa Ontario Canada

ISBN: (纸本)9781479956029

Optical networks have been shown to be the most viable solution for inter-data-center network implementation. Furthermore, elastic optical networks incorporating virtualization technology can significantly introduce agile delivery of cloud services. In this paper, we present resilient design of an inter-data-center network over an elastic optical network backbone aiming at minimum outage probability for the demands submitted to the Cloud and handled in one or more data centers in the network where a data center can have any of the following four availability values;99.67%, 99.74%, 99.98% and 99.995%. Moreover, employment of optical network as the transport medium introduces the high availability advantage of the optical network components over the lightpaths/light-trees towards data centers. We illustrate the advantages of manycast-based provisioning of the upstream data center requests over anycast-based provisioning and minimum-cost provisioning in terms of outage probability. Furthermore, we show the impact of resilient design of the inter-data-center network on the path delay performance of upstream data center demand.

关键词： cloud computing elastic optical networks inter-data-center networks virtualization resiliency

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A Research Retrospective on AMD's Exascale computing Journey 23

A Research Retrospective on AMD's Exascale Computing Journey

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Proceedings of the 50th Annual International symposium on computer architecture

作者： Gabriel H. Loh Michael J. Schulte Mike Ignatowski Vignesh Adhinarayanan Shaizeen Aga Derrick Aguren Varun Agrawal Ashwin M. Aji Johnathan Alsop Paul Bauman Bradford M. Beckmann Majed Valad Beigi Sergey Blagodurov Travis Boraten Michael Boyer William C. Brantley Noel Chalmers Shaoming Chen Kevin Cheng Michael L. Chu David Cownie Nicholas Curtis Joris Del Pino Nam Duong Alexandru Duțu Yasuko Eckert Christopher Erb Chip Freitag Joseph L. Greathouse Sudhanva Gurumurthi Anthony Gutierrez Khaled Hamidouche Sachin Hossamani Wei Huang Mahzabeen Islam Nuwan Jayasena John Kalamatianos Onur Kayiran Jagadish Kotra Alan Lee Daniel Lowell Niti Madan Abhinandan Majumdar Nicholas Malaya Srilatha Manne Susumu Mashimo Damon McDougall Elliot Mednick Michael Mishkin Mark Nutter Indrani Paul Matthew Poremba Brandon Potter Kishore Punniyamurthy Sooraj Puthoor Steven E. Raasch Karthik Rao Gregory Rodgers Marko Scrbak Mohammad Seyedzadeh John Slice Vilas Sridharan René van Oostrum Eric van Tassell Abhinav Vishnu Samuel Wasmundt Mark Wilkening Noah Wolfe Mark Wyse Adithya Yalavarti Dmitri Yudanov Advanced Micro Devices Inc. Bellevue WA USA Advanced Micro Devices Inc. Austin TX USA Advanced Micro Devices Inc. Santa Clara CA USA Advanced Micro Devices Inc. Boxborough MA USA Advanced Micro Devices Inc. Santa Clara WA USA Advanced Micro Devices Inc Bellevue WA USA Advanced Micro Devices Inc. Rochester NY USA Advanced Micro Devices Inc. Orlando FL USA Advanced Micro Devices Inc. San Diego CA USA Advanced Micro Devices Inc. Folsom CA USA

ISBN: (纸本)9798400700958

the pace of advancement of the top-end supercomputers historically followed an exponential curve similar to (and driven in part by) Moore's Law. Shortly after hitting the petaflop mark, the community started looking ahead to the next milestone: Exascale. However, many obstacles were already looming on the horizon, such as the slowing of Moore's Law, and others like the end of Dennard Scaling had already arrived. Anticipating significant challenges for the overall high-performance computing (HPC) community to achieve the next 1000x improvement, the U.S. Department of Energy (DOE) launched the Exascale computing Program to enable and accelerate fundamental research across the many technologies needed to achieve exascale *** had the opportunity to contribute to the so-called "*Forward" programs from the DOE, which were a series of public-private partnerships focused on research and co-design activities covering compute architectures, interconnects, memory systems, chiplets and packaging, software stacks, applications, and more. Some of the research from these programs can now be found in the world's first exascale supercomputer, some were a little ahead of their time and may have an impact in the coming years, and others simply did not pan out. In this paper, we provide a retrospective of AMD's nearly decade-long research journey covering how we tried to predict the architecture of a supercomputer a decade into the future, what we got right, what we got wrong, and some of the insights and learnings that we discovered along the way.

关键词： exascale

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“神威·太湖之光”上Tend_lin应用的并行优化研究

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计算机工程与科学 2020年第10期42卷 1842-1851页

作者：姜尚志唐生林高希然花嵘陈莉刘颖山东科技大学计算机科学与工程学院山东青岛266590 中国科学院计算技术研究所计算机体系结构国家重点实验室北京100190

大气环流模式是研究全球气候变化及其成因的主要工具之一,在大规模异构众核的并行计算系统上高效地并行运行复杂的大气环流模式是一个具有挑战性的课题。Tend_lin是中国科学院大气物理研究所研发的第4代大气环流模式IAP AGCM-4中动力框... 详细信息

大气环流模式是研究全球气候变化及其成因的主要工具之一,在大规模异构众核的并行计算系统上高效地并行运行复杂的大气环流模式是一个具有挑战性的课题。Tend_lin是中国科学院大气物理研究所研发的第4代大气环流模式IAP AGCM-4中动力框架的热点过程,具有计算/通信比低的特点。面向国产大规模异构众核超算平台“神威·太湖之光”,用OpenACC和AceMesh 2种不同的并行编程接口对Tend_lin进行优化。重点介绍了如何用数据驱动的任务并行编程接口AceMesh对其进行加速,介绍了计算循环和通信代码的任务并行方法,讨论了如何放松通信资源共享,对比了单层任务图和嵌套任务图下的任务映射等优化问题。测试结果表明,相比OpenACC,AceMesh在16~1024进程的不同并行配置下获得了平均2倍左右的性能提升,最后详细分析了性能收益的来源。

关键词：大气环流模式高分辨率数据驱动的任务并行语言 OpenACC MPI

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thERMAL-AWARE IR DROP ANALYSIS IN LARGE POWER GRID

THERMAL-AWARE IR DROP ANALYSIS IN LARGE POWER GRID

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Ninth International symposium on Quality Electronic Design (ISQED 2008)

作者： Yu Zhong Martin D. F. Wong Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign Urbana IL USA

Due to the positive feedback loop between power grid Joule heating and the linear temperature dependence of resistivity, non-uniform temperature profiles on the power grid in high-performance IC influence the IR drop in the power grid. Lack of accurate evaluation of thermal effect on the IR drop in the power grid may lead to over-design;or worse, underestimates the IR drop due to increased local temperature. this paper presents a method to compute the temperature-dependent IR drop on the power grid extremely fast. We propose a novel thermal model and a mathematical formulation to compute the temperature profiles on the power grid efficiently. Compared to the traditional thermal lumped model, which gives a much larger thermal network than the original power grid (20 times more nodes), our model takes advantage of power grid properties, and reduces the size of the thermal equivalent network dramatically (only 13% of the size of the power grid). Iterative methods [16] are used to efficiently update the IR drops based on the new temperature profile. Experimental results show that without considering temperature impact, the worst IR drop analysis can have error up to 10%.

关键词： Power grids Temperature dependence Grid computing Feedback loop Heating Conductivity Optical computing Mathematical model Iterative methods Error analysis

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Changing life expectancy in European countries 1990–2021: a subanalysis of causes and risk factors from the Global Burden of Disease Study 2021

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the Lancet Public Health 2025年第3期10卷 e172-e188页

作者： Steel, Nicholas Bauer-Staeb, Clarissa Maria Mercedes Ford, John A. Abbafati, Cristiana Abdalla, Mohammed Altigani Abdelkader, Atef Abdi, Parsa Zuñiga, Roberto Ariel Abeldaño Abiodun, Olugbenga Olusola Abolhassani, Hassan Abu-Gharbieh, Eman Abukhadijah, Hana J. Abu-Zaid, Ahmed Addo, Isaac Yeboah Addolorato, Giovanni Adekanmbi, Victor Adetunji, Juliana Bunmi Adeyeoluwa, Temitayo Esther Agardh, Emilie E. Agyemang-Duah, Williams Ahmad, Danish Ahmed, Ayman Ahmed, Syed Anees Akinosoglou, Karolina Akkaif, Mohammed Ahmed Al Awaidy, Salah Al Hasan, Syed Mahfuz Al Zaabi, Omar Ali Mohammed Aldridge, Robert W. Algammal, Abdelazeem M. Al-Gheethi, Adel Ali Saeed Ali, Abid Ali, Mohammed Usman Ali, Syed Shujait Ali, Waad Alicandro, Gianfranco Alif, Sheikh Mohammad Al-Jumaily, Adel Allebeck, Peter Alrawashdeh, Ahmad Al-Rifai, Rami H. Alsabri, Mohammed A. Alshahrani, Najim Z. Aluh, Deborah Oyine Al-Wardat, Mohammad Al-Zyoud, Walid A. Amiri, Sohrab Anderlini, Deanna Andrei, Catalina Liliana Anil, Abhishek Anvari, Saeid Anyasodor, Anayochukwu Edward Appiah, Seth Christopher Yaw Aquilano, Michele Arabloo, Jalal Arafat, Mosab Areda, Demelash Aremu, Abdulfatai Armani, Keivan Armocida, Benedetta Ärnlöv, Johan Asaduzzaman, Muhammad Astell-Burt, thomas Aujayeb, Avinash Ausloos, Marcel Azadnajafabad, Sina Aziz, Shahkaar Azzam, Ahmed Y. Babu, Giridhara Rathnaiah Badache, Andreea Corina Badiye, Ashish D. Bahramian, Saeed Baig, Atif Amin Baker, Jennifer L. Bansal, Hansi Bärnighausen, Till Winfried Barone, Mark thomaz Ugliara Barrow, Amadou Barteit, Sandra Bashir, Shahid Bashiru, Hameed Akande Basso, João Diogo Bastan, Mohammad-Mahdi Basu, Sanjay Batra, Kavita Bauckneht, Matteo Baune, Bernhard T. Beghi, Massimiliano Beiranvand, Maryam Béjot, Yannick Bell, Michelle L. Bello, Olorunjuwon Omolaja Belo, Luis Beloukas, Apostolos Beneke, Alice A. Bettencourt, Paulo J.G. Bhagavathula, Akshaya Srikanth Bhala, Neeraj Bhaskar, Sonu Bisulli, Francesca Bjørge, Tone Bodunrin, Aadam Olalekan Carvajal, Alejandro Botero Bouaoud, Souad Brayne, Carol Brenner, H Department of Primary Care and Public Health University of East Anglia Norwich United Kingdom Office for Health Improvement and Disparities Department of Health and Social Care London United Kingdom Department of Legal and Economic Studies La Sapienza University Rome Italy Rome Italy Hull York Medical School University of Hull Hull United Kingdom Department of Mathematics and Sciences Ajman University Ajman United Arab Emirates Department of Medicine Memorial University St. John's NL Canada Postgraduate Department University of Sierra Sur Miahuatlan de Porfirio Diaz Mexico Yhteiskuntadatatieteen keskus (Centre for Social Data Science) Helsinki Finland Department of Internal Medicine Federal Medical Centre Abuja Nigeria Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Department of Medical Biochemistry and Biophysics Karolinska Institutet (Karolinska Institute) Stockholm Sweden Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Department of Biopharmaceutics and Clinical Pharmacy University of Jordan Amman Jordan Medical Research Center Hamad Medical Corporation Doha Qatar Department of Biochemistry and Molecular Medicine Alfaisal University Riyadh Saudi Arabia College of Graduate Health Sciences University of Tennessee Memphis TN United States School of Medicine Sydney NSW Australia Centre for Social Research in Health University of New South Wales Sydney NSW Australia Internal Medicine and Alcohol Related Disease Unit Fondazione Policlinico Universitario A. Gemelli IRCCS Rome Italy Department of Medical and Surgical Sciences Università Cattolica di Roma (Catholic University of Rome) Rome Italy Department of Obstetrics and Gynecology University of Texas Medical Branch Galveston TX United States Department of Biochemistry Osun State University Osogbo Nigeria Department of Pharmacology and Therapeutics University of Medical Sciences Ondo Ondo Nigeria Department of Veteri

Background: Decades of steady improvements in life expectancy in Europe slowed down from around 2011, well before the COVID-19 pandemic, for reasons which remain disputed. We aimed to assess how changes in risk factors and cause-specific death rates in different European countries related to changes in life expectancy in those countries before and during the COVID-19 pandemic. Methods: We used data and methods from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 to compare changes in life expectancy at birth, causes of death, and population exposure to risk factors in 16 European Economic Area countries (Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, and Sweden) and the four UK nations (England, Northern Ireland, Scotland, and Wales) for three time periods: 1990–2011, 2011–19, and 2019–21. Changes in life expectancy and causes of death were estimated with an established life expectancy cause-specific decomposition method, and compared with summary exposure values of risk factors for the major causes of death influencing life expectancy. Findings: All countries showed mean annual improvements in life expectancy in both 1990–2011 (overall mean 0·23 years [95% uncertainty interval [UI] 0·23 to 0·24]) and 2011–19 (overall mean 0·15 years [0·13 to 0·16]). the rate of improvement was lower in 2011–19 than in 1990–2011 in all countries except for Norway, where the mean annual increase in life expectancy rose from 0·21 years (95% UI 0·20 to 0·22) in 1990–2011 to 0·23 years (0·21 to 0·26) in 2011–19 (difference of 0·03 years). In other countries, the difference in mean annual improvement between these periods ranged from –0·01 years in Iceland (0·19 years [95% UI 0·16 to 0·21] vs 0·18 years [0·09 to 0·26]), to –0·18 years in England (0·25 years [0·24 to 0·25] vs 0·07 years [0·06 to 0·08]). In 2019–21, there was an overall decrease in mean annual life expectancy a

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HBM访存特点分析及性能测试

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舰船电子工程 2020年第7期40卷 126-129页

作者：张显陈海燕王耀华杨晓辉空军航空兵第十三团日喀则857000 国防科技大学计算机学院长沙410073

高性能计算需求的发展对微处理器性能提出了更高要求,随着多核架构成为提高其性能的主要途径,高性能微处理器研制面临着越来越严重的"存储墙"问题[1~3]。高带宽存储器(high-Bandwidth Memory,HBM)作为一种新型的存储解决方案... 详细信息

高性能计算需求的发展对微处理器性能提出了更高要求,随着多核架构成为提高其性能的主要途径,高性能微处理器研制面临着越来越严重的"存储墙"问题[1~3]。高带宽存储器(high-Bandwidth Memory,HBM)作为一种新型的存储解决方案可以提供更高的访存带宽。论文搭建了HBM测试平台,对HBM读写带宽进行测试;并根据自主设计多核数字信号处理器X-DSP的仿真模拟平台,使用AlexNet、VGG16、GEMM等程序对基于HBM和DDR3的X-DSP进行了性能评估,为新一代高性能微处理器的研制提供了技术支持。

关键词： DSP HBM HBM控制器

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