Výsledky vyhledávání - Computing methodologies: Modeling and simulation

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    Introducing Instruction-Accurate Simulators for Performance Estimation of Autotuning Workloads Autor Pelke, Rebecca, Bosbach, Nils, Reimann, Lennart M., Leupers, Rainer

    Vydáno: IEEE 22.06.2025
    “… This approach offers high scalability when the availability of the target HW is limited, as many simulations can be run in parallel on any accessible…”
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    Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models Autor Baresi, Luciano, Xian Hu, Davide Yi, Stocco, Andrea, Tonella, Paolo

    ISSN: 1558-1225
    Vydáno: IEEE 26.04.2025
    “…Simulation-based testing is widely used to assess the reliability of Autonomous Driving Systems (ADS…”
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    Invited: Autonomous Driving Digital Twin Empowered Design Automation: An Industry Perspective Autor Yu, Bo, Tang, Jie, Liu, Shao-Shan

    Vydáno: IEEE 09.07.2023
    “…Designing reliable computing systems for autonomous driving is extremely challenging, as the performance and reliability of the systems have to be thoroughly evaluated under an extremely large amount…”
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    Evaluating Terminology Translation in Machine Translation Systems via Metamorphic Testing Autor Xu, Yihui, Li, Yanhui, Wang, Jun, Zhang, Xiaofang

    ISSN: 2643-1572
    Vydáno: ACM 27.10.2024
    “…Machine translation has become an integral part of daily life, with terminology translation playing a crucial role in ensuring the accuracy of translation…”
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    Exploiting learning and scenario-based specification languages for the verification and validation of highly automated driving Autor Damm, Werner, Galbas, Roland

    ISBN: 1450357393, 9781450357395
    Vydáno: New York, NY, USA ACM 28.05.2018
    “…We propose a series of methods based on learning key structural properties from traffic data-basis and on statistical model checking, ultimately leading to the…”
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    Towards Differentiable Electron Microscopy Simulation: Methods and Applications Autor Nguyen, Ngan, Liang, Feng, Engel, Dominik, Bohak, Ciril, Strnad, Ondrej, Ropinski, Timo, Viola, Ivan

    ISSN: 2165-8773
    Vydáno: IEEE 23.04.2024
    Vydáno v IEEE Pacific Visualization Symposium (23.04.2024)
    “…We propose a new microscopy simulation system that can depict atomistic models in a micrograph visual style, similar to physical electron microscopy imaging results…”
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    A Multi‐layer Solver for XPBD Autor Mercier‐Aubin, A., Kry, P. G.

    ISSN: 0167-7055, 1467-8659
    Vydáno: Oxford Blackwell Publishing Ltd 01.12.2024
    Vydáno v Computer graphics forum (01.12.2024)
    “…We present a novel multi‐layer method for extended position‐based dynamics that exploits a sequence of reduced models consisting of rigid and elastic parts to…”
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    In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators Autor Humeniuk, Dmytro, Ben Braiek, Houssem, Reid, Thomas, Khomh, Foutse

    ISSN: 2643-1572
    Vydáno: ACM 27.10.2024
    “…) and identifying failures through offline or online simulation-based testing. However, the process of exploiting the identified failures to uncover design flaws early…”
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    TEASER: Simulation-Based CAN Bus Regression Testing for Self-Driving Cars Software Autor Birchler, Christian, Rohrbach, Cyrill, Kim, Hyeongkyun, Gambi, Alessio, Liu, Tianhai, Horneber, Jens, Kehrer, Timo, Panichella, Sebastiano

    ISSN: 2643-1572
    Vydáno: IEEE 11.09.2023
    “…Safety-critical systems such as self-driving cars (SDCs) must be rigorously tested. Especially electronic control units (ECUs) of SDCs should be tested with…”
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    The Dataflow Abstract Machine Simulator Framework Autor Zhang, Nathan, Lacouture, Rubens, Sohn, Gina, Mure, Paul, Zhang, Qizheng, Kjolstad, Fredrik, Olukotun, Kunle

    Vydáno: IEEE 29.06.2024
    “…The growing interest in novel dataflow architectures and streaming execution paradigms has created the need for a simulator optimized for modeling dataflow systems…”
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    SURFNet: Super-Resolution of Turbulent Flows with Transfer Learning using Small Datasets Autor Obiols-Sales, Octavi, Vishnu, Abhinav, Malaya, Nicholas P., Chandramowlishwaran, Aparna

    Vydáno: IEEE 01.09.2021
    “…Deep Learning (DL) algorithms are emerging as a key alternative to computationally expensive CFD simulations…”
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    EI-MOR: A Hybrid Exponential Integrator and Model Order Reduction Approach for Transient Power/Ground Network Analysis Autor Wang, Cong, Yang, Dongen, Chen, Quan

    ISSN: 1558-2434
    Vydáno: ACM 29.10.2022
    “… Based on this equivalence, we next devise a hybrid method, EI-MOR, to combine the usage of EI and MOR in the same transient simulation…”
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    Modeling and Simulation of Collective Algorithms on HPC Network Topologies using Structural Simulation Toolkit Autor Chenna, Sai P., Steyer, Michael, Kumar, Nalini, Garzaran, Maria, Thierry, Philippe

    Vydáno: IEEE 17.11.2024
    “… We have extended the Structural Simulation Toolkit (SST) to simulate allreduce and barrier algorithms - Rabenseifner, ring, and, dissemination algorithms…”
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    Optimistic Parallel Simulation of Tightly Coupled Agents in Continuous Time Autor Andelfinger, Philipp, Uhrmacher, Adelinde

    Vydáno: IEEE 27.09.2021
    “…Agent-based simulations relying on synchronous state updates using a fixed time step size are considered attractive candidates for parallel execution in order to reduce simulation running times…”
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    GEM: GPU-Accelerated Emulator-Inspired RTL Simulation Autor Guo, Zizheng, Zhang, Yanqing, Wang, Runsheng, Lin, Yibo, Ren, Haoxing

    Vydáno: IEEE 22.06.2025
    “… Previous GPU-based attempts have failed to speed up RTL simulation due to the heterogeneous nature of circuit partitions, which conflicts with the SIMT…”
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    A Full-system, Programmable, and Extensible In-Memory Computing Simulation Framework for Deep Learning Autor Zhou, Kaining, Huang, Jian, Kim, Nam Sung, Shanbhag, Naresh

    Vydáno: IEEE 22.06.2025
    “…In-memory computing (IMC) has established itself as an attractive alternative to hardware accelerators in addressing the memory wall problem for artificial intelligence (AI) workloads…”
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    SAPO: Improving the Scalability and Accuracy of Quantum Linear Solver for Portfolio Optimization Autor Zhu, Tianze, Lu, Liqiang, Chen, Jiajun, Chen, Yuhang, Chen, Hengrui, Xi, Meng, Zhang, Jinshan, Sun, Xiaoming, Yin, Jianwei

    Vydáno: IEEE 22.06.2025
    “… Quantum computing offers polynomial or even exponential speedup that turns out to be a promising approach…”
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    Versatile Cross-platform Compilation Toolchain for Schrödinger-style Quantum Circuit Simulation Autor Lu, Yuncheng, Liang, Shuang, Fan, Hongxiang, Guo, Ce, Luk, Wayne, Kelly, Paul H. J.

    Vydáno: IEEE 22.06.2025
    “… Efficient classical simulators for high-performance quantum simulation are critical to meeting this demand…”
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