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检索条件"任意字段=International Conference on Embedded Computer Systems Architectures Modeling and Simulation"

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The impact of the AC922 Architecture on Performance of Deep Neural Network Training

The impact of the AC922 Architecture on Performance of Deep ...

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international conference on High Performance Computing & simulation (HPCS)

作者： Paweł Rościszewski Michał Iwański Paweł Czarnul Faculty of Electronics Telecommunications and Informatics Gdańsk University of Technology Poland IBM Systems IBM Poland

ISBN: (数字)9781728144849

ISBN: (纸本)9781728144856

Practical deep learning applications require more and more computing power. New computing architectures emerge, specifically designed for the artificial intelligence applications, including the IBM Power System AC922. In this paper we confront an AC922 (8335-GTG) server equipped with 4 NVIDIA Volta V100 GPUs with selected deep neural network training applications, including four convolutional and one recurrent model. We report performance results depending on batch sizes and GPU selection and compare them with the results from another contemporary workstation based on the same set of GPUs - NVIDIA® DGX Station ™ . The results show that the AC922 performs better in all tested configurations, achieving improvements up to 10.3%. Profiling indicates that the improvement is due to the efficient I/O pipeline. The performance differences depend on the specific model, rather than on the model class (RNN/CNN). Both systems offer good scalability up to 4 GPUs. In certain cases there is a significant difference in performance depending on exactly which GPUs are used for computations.

关键词： Training Servers computer architecture Bandwidth Computational modeling Benchmark testing Machine learning

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Data-Driven Agent-Based modeling, with Application to Rooftop Solar Adoption 15

Data-Driven Agent-Based Modeling, with Application to Roofto...

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international conference on Autonomous Agents and Multiagent systems

作者： Haifeng Zhang Yevgeniy Vorobeychik Joshua Letchford Kiran Lakkaraju Electrical Engineering and Computer Science Vanderbilt University Sandia National Laboratories

ISBN: (纸本)9781450337694

Agent-based modeling is commonly used for studying complex system properties emergent from interactions among many agents. We present a novel data-driven agent-based modeling framework applied to forecasting individual and aggregate residential rooftop solar adoption in San Diego county. Our first step is to learn a model of individual agent behavior from combined data of individual adoption characteristics and property assessment. We then construct an agent-based simulation with the learned model embedded in artificial agents, and proceed to validate it using a holdout sequence of collective adoption decisions. We demonstrate that the resulting agent-based model successfully forecasts solar adoption trends and provides a meaningful quantification of uncertainty about its predictions. We utilize our model to optimize two classes of policies aimed at spurring solar adoption: one that subsidizes the cost of adoption, and another that gives away free systems to low-income house-holds. We find that the optimal policies derived for the latter class are significantly more efficacious, whereas the policies similar to the current California Solar Initiative incentive scheme appear to have a limited impact on overall adoption trends.

关键词： Machine Learning Agent-based modeling Innovation Diffusion Rooftop Solar Policy Optimization Agent-Based modeling Adoption Diffusion of Innovation Sun ROOFS data driven optimal strategy Artificial Intelligence Machine Learning Policies

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Formal semantics and verification of AADL modes in Timed Abstract State Machine

Formal semantics and verification of AADL modes in Timed Abs...

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IEEE international conference on Progress in Informatics and Computing (PIC)

作者： Zhibin Yang Kai Hu Dianfu Ma Lei Pi Jean-Paul Bodeveix School of Computer Science and Engineering Beihang University Beijing China IRIT University of Toulouse III Toulouse France

AADL (Architectural Analysis & Design Language) is an architecture description language standard for embedded real-time systems, and it is widely used in aerospace and other safety-critical applications. However, the AADL standard lacks at present a formal semantics. This paper proposes a formal semantics and a verification framework of AADL models with regard to mode change. The precise semantics of AADL mode change protocol is defined by a translation into the TASM (Timed Abstract State Machine) formalism. Then the translational semantics is automated in the AADL2TASM tool, which provides model checking and simulation for AADL models. Finally, the approach is validated with a case study of an automotive cruise control system.

关键词： Automation Manuals Computational modeling Engines Software Synchronization Wheels

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A model and design of a fully distributed computing environment for virtual reality

A model and design of a fully distributed computing environm...

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IEEE international conference on embedded and Real-Time Computing systems and Applications (RTCSA)

作者： Jiung-Yao Huang Chao-Tsong Fang-Tson Shuenn-Jyi Wang Wei-Chyuan Wang Multimedia and Virtual Reality Laboratory Institute of Computer Science and Information Engineering Tamkang University Tamsui Taiwan Avionics Development Center Institute for Information Industry Taipei Taiwan

ISBN: (纸本)0818680733

With the evolution of computing technologies, both PCs and workstations have increased computing power with less cost in the recent years. This paper presents a model and design of a fully distributed virtual reality system, called Multiple User Distributed simulation (MUDS) system, over a network of low-end computers. MUDS system is designed to provide a virtual environment for both a single user and multiple participants over a fully distributed environment. However, only the method and architecture of building a single user distributed virtual environment is presented in this paper. MUDS system adapts and modifies the concepts from High Level Architecture, which is designed by DoD of US to provide interoperability among distributed simulators. Compared to the other existing distributed systems, MUDS system provides a transparent interface among distributed tasks. The prototype of MUDS system has been successfully built in Institute of computer Science and Information Engineering, Tamkang University. An experiment of using MUDS system along with the experimental result will also be fully discussed in the paper.

关键词： Distributed computing Multiuser detection Power system modeling Computational modeling Virtual environment computer architecture Personal communication networks Workstations Costs Virtual reality

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Market-inspired dynamic resource allocation in many-core high performance computing systems

Market-inspired dynamic resource allocation in many-core hig...

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international conference on High Performance Computing & simulation (HPCS)

作者： Amit Kumar Singh Piotr Dziurzanski Leandro Soares Indrusiak Department of Computer Science University of York UK

Many-core systems are envisioned to fulfill the increased performance demands in several computing domains such as embedded and high performance computing (HPC). The HPC systems are often overloaded to execute a number of dynamically arriving jobs. In overload situations, market-inspired resource allocation heuristics have been found to provide better results in terms of overall profit (value) earned by completing the execution of a number of jobs when compared to various other heuristics. However, the conventional market-inspired heuristics lack the concept of holding low value executing jobs to free the occupied resources to be used by high value arrived jobs in order to maximize the overall profit. In this paper, we propose a market-inspired heuristic that accomplish the aforementioned concept and utilizes design-time profiling results of jobs to facilitate efficient allocation. Additionally, the remaining executions of the held jobs are performed on freed resources at later stages to make some profit out of them. The holding process identifies the appropriate jobs to be put on hold to free the resources and ensures that the loss incurred due to holding is lower than the profit achieved by high value arrived jobs by using the free resources. Experiments show that the proposed approach achieves 8% higher savings when compared to existing approaches, which can be a significant amount when dealing in the order of millions of dollars.

关键词： Resource management Time factors Dynamic scheduling High performance computing Biological system modeling Heuristic algorithms Genetic algorithms

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Process Planning with embedded Scheduling for Multi-Parts Production in Reconfigurable Manufacturing systems

Process Planning with Embedded Scheduling for Multi-Parts Pr...

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international conference on computer Graphics,simulation and modeling(ICGSM’2012);international conference on Production,Materials and Automobile Engineering(ICPMAE2012);international conference on Advances in Transformers and Electronics Engineering(ICATEE’2012);international conference on Chemical,Environmental Science and Engineering(ICEEBS’2012);international conference on Business Intelligence and Humanities(ICBEBS’2012);international conference on Biological,Biomedical and Pharmaceutical Sciences(ICCEPS’2012)

作者： Farayi Musharavati Department of Mechanical and Industrial Engineering Qatar University

Todate it has been shown that reconfigurable manufacturing systems (RMSs) have advantages over other production systems in dynamic manufacturing environments. However, the operations of RMSs are complex and hence require unique manufacturing support systems. In this paper, we examine the process planning function for RMSs in an attempt to develop a process planning function that is suitable for operating RMSs. We explore the propects of a process planning function that embeddes strongly related scheduling sub-functions in order to avoid sub-optimal operating performance. The uniqueness of this approach lies in optimizing process plans for RMSs in a bid to exploit the potential of production flexibility and reconfigurability in dynamic manufacturing environments. A simulated annealing algorithm is developed and tasked to provide solutions to the proposed process planning model. Evaluation of the obtained process plans indicates that they retain routing and processing flexibility which allows for logical reconfiguration of the manufacturing system.

关键词： Logical reconfiguration, optimization, process planning, reconfigurable manufacturing systems, scheduling, simulated annealing

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System of systems complexity: modeling and simulation issues 08

System of systems complexity: modeling and simulation issues

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Proceedings of the 2008 Summer computer simulation conference

作者： Paul N. Lowe Michelle W. Chen The Boeing Company

Capability-based acquisition changes the general approach to systems engineering. Instead of buying threat-based, service-specific systems, a mobile target-weapon pairing system, for example, and then identifying how to integrate that system with other similar threat-based systems, we now identify the warfighting capabilities we want to achieve. Then we start with a 'blank sheet of paper' to develop the systems architecture and technical standards necessary to allow seamless interaction using shared data and applications. [1] Capability-based acquisition focuses on the development of alternative system of systems (SoS) architectures that link (i.e., network) diverse interoperable systems to optimize overarching capability effectiveness while minimizing development *** is up to the systems architect and engineer to find the best solution by examining inter-relationships between various configurations of warfighters, platforms, sensors, weapons, command and control, communications, while considering external factors that potentially impact full capability effectiveness and sustainment, such as operational doctrine, joint operations, government and societal organizations, terrorism, and public opinion. The emergence of asymmetric warfare, military-operations-other-than-war, effects-based and network-centric operations, national crisis response (and other homeland security missions), and other large scale problems where many diverse systems (often human individual and organizational decision-making systems) interact in complex ways, serves to complicate the process of developing an effectively interoperable *** is a complex undertaking to integrate a complex system of systems. Accordingly, the concept of system of systems has become increasingly important to systems engineering. One needs to understand the nature of the complexity of system of systems to gain insight into the design of robust, interoperable systems that integrate seamlessly into a system of s

关键词： capability-based acquisition

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Spatiotemporal Traffic Flow Prediction Using CNN-LSTM architectures

Spatiotemporal Traffic Flow Prediction Using CNN-LSTM Archit...

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international conference on Intelligent Computing in Data Sciences (ICDS)

作者： Yassine Ennaji Nada Faqir Jaouad Boumhidi LISAC Laboratory Sidi Mohamed Ben Abdellah University Fez Morocco

ISBN: (数字)9798350351200

ISBN: (纸本)9798350351217

In this paper, we present a spatiotemporal model for traffic flow prediction using a CNN-LSTM architecture. The proposed method integrates multivariate inputs, including position, velocity, and traffic light states, into a deep learning framework. Our approach leverages the simulation capabilities of SUMO to generate realistic traffic data, which is then used to train the CNN-LSTM model. We evaluate the performance of the model using standard error metrics such as Mean Squared Error (MSE) and Root Mean Squared Error (RMSE). The results demonstrate the effectiveness of the CNN-LSTM model in capturing the complex dynamics of urban traffic and its potential for real-time traffic prediction applications in smart cities.

关键词： Measurement Smart cities Computational modeling Transportation computer architecture Predictive models Data models Real-time systems Spatiotemporal phenomena Standards

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simulation and platform tools to develop safe flock of UAVs: a CPS application-driven research

Simulation and platform tools to develop safe flock of UAVs:...

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international conference on Unmanned Aircraft systems (ICUAS)

作者： Laurent Ciarletta Adrien Guenard Yannick Presse Virgine Galtier Ye-Qiong Song Jean-Christophe Ponsart Samir Aberkane Didier Theilliol UMR 7503 Lorraine University Nancy France Loria Lyon France Madynes INRIA Nancy France Supélec UMI Metz France Centre de Recherche en Automatique de Nancy Universit de Lorraine France

Autonomous formation flying (flocking) of UAVs requires coordination of efforts and solutions in multiple research fields (robotics, wireless sensor networks to name a few). The Airborne embedded auTonomOUs Robust Network of Objects and Sensors (AETOURNOS) project is designed as a federative, fueling platform and global evaluation tool. It has spawned another collaborative project bridging the gap between computer Science and Automation: 6PO (Cyber-Physical systems and Cooperative Control of a Fleet of UAVs). We want to investigate new flocking strategies, mobility-aware communication protocols (and reciprocally: movements influenced by network QoS), and to ease the cooperation between experts, we need co-simulation solutions, and “universal” control interfaces. This article presents our first contribution to this grand scheme: a stand-alone simulation of an autonomous flocking strategy taking into account both the dynamics of the UAVs and their communications, which has allowed us to examine the relation between network unreliability and control computation. To better study the influence of the communication network, we present an architecture coupling a dedicated network simulator with the UAVs simulator, as well as with a real drone piloting interface. The lessons learned help us build a research and action plan for the years to come.

关键词： Robot kinematics Mathematical model Collision avoidance Robot sensing systems Computational modeling

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Sensing, Tracking and Contextualizing Entities in Ubiquitous Computing 12

Sensing, Tracking and Contextualizing Entities in Ubiquitous...

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ACM international Workshop on modeling, Analysis and simulation of Wireless and Mobile systems

作者： Antonio A.F. Loureiro Department of Computer Science Universidade Federal de Minas Gerais Belo Horizonte Minas Gerais Brazil

ISBN: (纸本)9781450316286

Information and Communications Technology is increasingly becoming a part of our daily activities. Nowadays, we are able to sense a broad range of entities in the world: from physical entities that comprise the Internet of Things (IoT) to social entities that include people in social networks. We can expect, to have a ubiquitous sensing infrastructure in different environments, with varying needs and complexities. While these sensors/entities are mostly static, smart phones are taking center stage as the most widely adopted and ubiquitous computing device. Smart phones have enormous potential for the study of human social networks and human behavior "in vivo," in a natural context outside laboratories. Besides their computing power, smart phones are currently available with an increasing rich set of embedded sensors, such as GPS, accelerometer, microphone, camera, gyroscope and digital compass. Sensing vast areas becomes more feasible when people carrying their portable devices collect data and collaborate among themselves. systems that enable sensed data in this way are named participatory sensing systems (PSSs). In those networks, the shared data is not limited to sensor readings passively generated by the device, but also includes proactive user observations. A challenge is how to obtain meaningful information from this large amount of data at different scales along the time. Some of the traditional techniques that have been used to process those distinct data sources are information fusion, data mining and machine learning. Notice that the consumers of such information can be, in one extreme, a large set of cooperating or non-cooperating entities, and, in the other, an individual or a "thing", for instance. Two important attributes of the sensed data are the location and time where they are collected. Localization and tracking play a key role in ubiquitous computing due to the fact that a wide variety of envisioned applications that collect sensed data rely on t

关键词： Sensing tracking context ubiquitous computing Ubiquitous computing tracking Smartphone Social Networks information Speaking

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