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Virtuoso: Enabling Fast and Accurate Virtual Memory Research via an Imitation-based Operating System simulation Methodology 25

Virtuoso: Enabling Fast and Accurate Virtual Memory Research...

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30th international conference on Architectural Support for Programming Languages and Operating Systems-ASPLOS

作者： Kanellopoulos, Konstantinos Sgouras, Konstantinos Bostanci, F. Nisa Kakolyris, Andreas Kosmas Konar, Berkin Kerim Bera, Rahul Sadrosadati, Mohammad Kumar, Rakesh Vijaykumar, Nandita Mutlu, Onur Swiss Fed Inst Technol Zurich Switzerland NTNU Trondheinm Norway Univ Toronto Toronto ON Canada

ISBN: (纸本)9798400710797

The unprecedented growth in data demand from emerging applications has turned virtual memory (VM) into a major performance bottleneck. VM's overheads are expected to persist as memory requirements continue to increase. Researchers explore new hardware/OS co-designs to optimize VM across diverse applications and systems. To evaluate such designs, researchers rely on various simulation methodologies to model VM components. Unfortunately, current simulation tools (i) either lack the desired accuracy in modeling VM's software components or (ii) are too slow and complex to prototype and evaluate schemes that span across the hardware/software boundary. We introduce Virtuoso, a new simulation framework that enables quick and accurate prototyping and evaluation of the software and hardware components of the VM subsystem. The key idea of Virtuoso is to employ a lightweight userspace OS kernel, called MimicOS, that (i) accelerates simulation time by imitating only the desired kernel functionalities, (ii) facilitates the development of new OS routines that imitate real ones, using an accessible high-level programming interface, (iii) enables accurate and flexible evaluation of the application- and system-level implications of VM after integrating Virtuoso to a desired architectural simulator. In this work, we integrate Virtuoso into five diverse architectural simulators, each specializing in different aspects of system design, and heavily enrich it with multiple state-of-the-art VM schemes. This way, we establish a common ground for researchers to evaluate current VM designs and to develop and test new ones. We demonstrate Virtuoso's flexibility and versatility by evaluating five diverse use cases, yielding new insights into state-of-the-art VM techniques. Our validation shows that Virtuoso ported on top of Sniper, a state-of-the-art microarchitectural simulator, models (i) the memory management unit of a real high-end server-grade CPU with 82% accuracy, and (ii) the page faul

关键词： Virtual Memory simulation Operating Systems Instrumentation Address Translation Memory Management

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QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models 5

QuantumAnnealing: A Julia Package for Simulating Dynamics of...

引用

2024 international conference on Quantum Computing and Engineering

作者： Morrell, Zachary Vuffray, Marc Misra, Sidhant Coffrin, Carleton Los Alamos Natl Lab Adv Network Sci Initiat Los Alamos NM 87545 USA

ISBN: (纸本)9798331541378

Analog Quantum Computers are promising tools for improving performance on applications such as modeling behavior of quantum materials, providing fast heuristic solutions to optimization problems, and simulating quantum systems. Due to the challenges of simulating dynamic quantum systems, there are relatively few classical tools for modeling the behavior of these devices and verifying their performance. *** provides a toolkit for performing simulations of Analog Quantum Computers on classical hardware. This package includes functionality for simulation of the time evolution of the Transverse Field Ising Model, replicating annealing schedules used by real world annealing hardware, implementing custom annealing schedules, and more. This allows for rapid prototyping of models expected to display interesting behavior, verification of the performance of quantum devices, and easy comparison against the expected behavior of quantum devices against classical approaches for small systems. The software is provided as open-source and is available through Julia's package registry system.

关键词： Quantum simulation Quantum Annealing Analog Quantum Computing Quantum Software Julia

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Characterization and modeling of Gate-All-Around FET (GAA FET) for Low-Power and High- Performance applications

Characterization and Modeling of Gate-All-Around FET (GAA FE...

引用

2024 international conference on Advances in Modern Age technologies for Health and Engineering Science, AMATHE 2024

作者： Hemantha, G. Reddy Priya, Aenikapati Swetha Suman, Jami Venkata Rao, T.V.Janardhana Priyadarshini, G.M.Anitha Mallam, Madhavi Madanapalle Institute Of Technology & Science Department Of Ece Andhra Pradesh Madanapalle India Amrita School Of Engineering Amrita Vishwa Vidyapeetham Department Of Ece Karnataka Bangalore India Gmr Institute Of Technology Department Of Ece Andhra Pradesh Rajam India Bonam Venkata Chalamayya Engineering College Department Of Ece Andhra Pradesh Odalarevu India Anurag University Department Of Ece Telangana Hyderabad India Pes Institute Of Technology And Management Department Of Ece Karnataka Shivamogga India

ISBN: (纸本)9798350371567

This paper investigates Gate-All-Around Field- Effect Transistors (GAA FETs) as viable solutions for modern low-power and high-performance electronic applications. Through extensive experimental analysis involving fabrication, electrical characterization, and simulation modeling, this study delves into the intrinsic electrical properties and performance metrics of GAA FETs. Key parameters such as threshold voltage, leakage current, sub-threshold swing, and transconductance are rigorously examined to assess the transistor's operational efficiency for low-power applications. Additionally, advanced simulation models are developed and validated to accurately predict GAA FET behavior, facilitating future design enhancements for high-performance computing. The findings underscore the advantageous features of GAA FETs, positioning them as promising candidates for fulfilling the requirements of both low-power consumption and high-performance computing. This research establishes a foundation for leveraging GAA FET technology in the development of innovative electronic devices, thereby opening avenues for diverse applications across various technological domains. © 2024 IEEE.

关键词： Multiple-gate field-effect transistors

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AsaPy: A Python Library for Aerospace simulation Analysis 38

AsaPy: A Python Library for Aerospace Simulation Analysis

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38th ACM SIGSIM international conference on Principles of Advanced Discrete simulation (ACM SIGSIM PADS)

作者： Dantas, Joao P. A. Silva, Samara R. Gomes, Vitor C. F. Costa, Andre N. Samersla, Adrisson R. Geraldo, Diego Maximo, Marcos R. O. A. Yoneyama, Takashi Inst Adv Studies Sao Jose Dos Campos Brazil Aeronaut Inst Technol Sao Jose Dos Campos Brazil

ISBN: (纸本)9798400703638

AsaPy is a custom-made Python library designed to simplify and optimize the analysis of aerospace simulation data. Instead of introducing new methodologies, it excels in combining various established techniques, creating a unified, specialized platform. It offers a range of features, including the design of experiment methods, statistical analysis techniques, machine learning algorithms, and data visualization tools. AsaPy's flexibility and customizability make it a viable solution for engineers and researchers who need to quickly gain insights into aerospace simulations. AsaPy is built on top of popular scientific computing libraries, ensuring high performance and scalability. In this work, we provide an overview of the key features and capabilities of AsaPy, followed by an exposition of its architecture and demonstrations of its effectiveness through some use cases applied in military operational simulations. We also evaluate how other simulation tools deal with data science, highlighting AsaPy's strengths and advantages. Finally, we discuss potential use cases and applications of AsaPy and outline future directions for the development and improvement of the library.

关键词： Aerospace simulations Data Analysis Design of Experiments Machine Learning Military Scenarios

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Method SPH for numerical solution of filtering problems: including capillary forces in fluid flow simulation 12

Method SPH for numerical solution of filtering problems: inc...

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12th international conference on Mathematical modeling in Physical Sciences, IC-MSQUARE 2023

作者： Bashurov, V. Zhigalov, V. Comtrade 360 Belgrade Serbia UNN Nizni Novgorod Russia

This paper explores the theory of filtration within porous media, focusing on multicomponent mixtures' dynamics and their numerical modeling. Key equations governing filtration, including Darcy's law and mass conservation, are introduced. The concept of smoothed particle hydrodynamics (SPH) is presented as a powerful numerical technique for approximating these equations. SPH's integral interpolation approach accommodates complex fluid-solid interactions and is applied to one-dimensional and two-dimensional test cases. Results demonstrate SPH's effectiveness in capturing intricate dynamics and aligning with traditional methodologies. This study contributes to understanding fluid dynamics in porous media and underscores SPH's potential for accurate simulations in diverse applications, from hydrocarbon reservoirs to environmental systems. The first section in your paper. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Porous materials

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Deploying Artificial Intelligence for Optimized Flood Forecasting and Mitigation 20

Deploying Artificial Intelligence for Optimized Flood Foreca...

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20th ACS/IEEE international conference on Computer Systems and applications (AICCSA)

作者： Algarni, Mohammad Al Baha Univ Comp Sci Dept Al Baha 65779 Saudi Arabia

ISBN: (纸本)9798350319439

The urgent need to develop strategies for predicting and managing flooding disasters has become increasingly important due to the rising frequency and severity of such events largely attributed to the effects of climate change. Artificial intelligence presents an approach to effectively tackle this pressing issue. This study thoroughly examines how artificial intelligence techniques are being used in flood forecasting and control. It explores the utilization of data sources like satellite imagery and Internet of Things (IoT) sensors to enhance the accuracy of AI based predictions. However like any advancement utilizing artificial intelligence in this field comes with its own unique set of challenges. The aim of this research is to investigate concerns that require attention in the realm of AI powered flood management. These challenges encompass aspects such as ensuring data integrity across geographical regions, efficiently handling the computational requirements of deep learning models and addressing issues related to fair distribution of AI powered flood control technologies. By examining methodologies employed in this domain along with their associated challenges, this paper seeks to provide an understanding of how artificial intelligence profoundly influences the future direction of flood prediction and control.

关键词： Artificial Intelligence Floods Machine Learning Flood Forecasting Disaster Mitigation Predictive modeling Data Analytics

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Exploring the Role of OR/MS in Cancer Research 3rd

Exploring the Role of OR/MS in Cancer Research

引用

3rd international conference on Optimization, Learning Algorithms and applications (OL2A)

作者： Teixeira, A. Almeida, R. Univ Tras Os Montes & Alto Douro P-5001801 Vila Real Portugal Pole CMAT UTAD Math Ctr CMAT Vila Real Portugal

ISBN: (纸本)9783031530241;9783031530258

This study aims to explore and analyze the significant role of Operations Research/Management Science (OR/MS) in the field of cancer research. The purpose of this work is to identify and highlight the various applications, methodologies, and contributions of OR/MS techniques in advancing cancer research, as well as to establish how OR/MS can effectively contribute to the development of innovative strategies, optimization of treatment protocols, decision-making processes, and overall improvement in cancer treatment. Fifteen papers with an extensive diversity of motivations were explored. Optimization of radiation therapy treatment plan, cancer prevention and personalized cancer therapy were some of the objectives of these works. Robust optimization, multi-objective optimization, Mixed Integer Programming, simulation and optimal control are some of the OR/MS techniques applied to cancer analysis.

关键词： OR/MS Methods modeling Cancer research

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modeling Quadcopter Stabilization 2nd

Modeling Quadcopter Stabilization

引用

2nd international conference on Information technologies and Their applications

作者： Pashayev, Adalat Sabziev, Elkhan Inst Control Syst AZ-1141 Baku Azerbaijan

ISBN: (纸本)9783031734168;9783031734175

Problems of control of unmanned aerial vehicles (UAVs) are investigated. The problem of developing an automatic controller to maintain the spatial position of UAVs is addressed. The spatial position here is altitude, yaw, roll and pitch angles. It is assumed that the initial information comes from the MPU6000 type sensors. An approach to solving the problem of signal denoising and tuning is proposed. Sensors of this type output loads (accelerometers) and angular velocities. To calculate the current angle, it is necessary to integrate the angular velocities. In doing so, it becomes necessary to solve two problems. First, angular velocities are measured in the local coordinate system, while the spatial position of the UAV is calculated relative to the global coordinate system. Second, when integrating angular velocities, the effect of error accumulation occurs. The possibilities of refining gyroscope readings based on accelerometer readings are investigated. A simulation program is developed on the basis of a mathematical model of quadcopter motion. The source of forces and torques acting on the system is the Earth's gravity, the thrust force and torques generated by the motors, and the drag force. Numerical methods are used to solve the system of equations. A PD controller is proposed to maintain the spatial position of the quadcopter. The coefficients are found experimentally. The proposed approach is verified in a computer simulation program.

关键词： UAV PD controller MPU6000 flight stabilization orientation angles sensor data processing regulator filter

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Analysis of the Finite Element simulation of the Linear Rolling Guide Pair Error Averaging Effect 5

Analysis of the Finite Element Simulation of the Linear Roll...

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5th international conference on Artificial Intelligence technologies and applications, ICAITA 2023

作者： Lin, Zixin Tian, Wenjie Zheng, Yingjie Xu, Yuanpei Shi, Kai Chen, Jiangtao Zhang, Dawei Gao, Weiguo Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education Tianjin University Tianjin China

ISBN: (纸本)9781643684840

This paper studied the error averaging effect of the linear guide pair based on finite element simulation method and proposed an assembly process to improve the accuracy of the kinematic subassembly. Firstly, a finite element modeling of a linear rolling guide pair is developed. The error transfer relationship between guide and kinematic subassembly is researched by simulating different combinations of guide errors. Secondly, the linear rolling guide pair experimental bench is built to experimentally verify, and the experimental results coincided with simulation analysis. Finally, in order to improve the accuracy of the kinematic parts, an assembly process is proposed. © 2024 The Authors.

关键词： Errors

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Design of Compact 4×4 MIMO Antenna for High-Speed Connectivity in the X-Band applications

Design of Compact 4×4 MIMO Antenna for High-Speed Connectiv...

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2024 IEEE international conference on Intelligent Signal Processing and Effective Communication technologies, INSPECT 2024

作者： Ramamohan, B. Reshma, K. Sai Krishna, K. Vinod Kumar, K. Sravanthi, P. Srinivas, L. Lendi Inst. of Engg and Tech Dept. of ECE India

ISBN: (数字)9798350379525

ISBN: (纸本)9798350379525

4×4 Multiple-input Multiple-output (MIMO) element antenna system operating at 8.56 GHz is designed and simulated in this research. Utilizing FR4 as the substrate material with a width of 0.8 mm and a size of 38×38 mm, the antenna design focuses on achieving high performance within compact form factors. The HFSS (High-Frequency Structure Simulator) software is employed for simulation studies, allowing thorough analysis of radiation patterns, impedance matching, and efficiency. Through careful optimization, the system aims to maximize spectral efficiency and reliability against multipath fading. The project explores potential applications of the MIMO antenna system in high-frequency communication scenarios such as 5G networks, satellite communication, and radar systems. Overall, this project contributes to the advancement of wireless communication technologies by offering insights into MIMO antenna design principles and optimization strategies, with the potential to enable high-speed data transmission and improved coverage in diverse deployment scenarios. Results from this study will help improve wireless communication technologies by providing a thorough knowledge of the principles and optimization methodologies for MIMO antenna design. Enhanced coverage, dependable connectivity in a variety of deployment circumstances, and lightning-fast data transfer are just a few ways in which the suggested MIMO antenna technology can shake up wireless communication networks. © 2024 IEEE.

关键词： Satellite antennas

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