Search Results - Computing methodologies: Simulation environment

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    LiDAR-Forest Dataset: LiDAR Point Cloud Simulation Dataset for Forestry Application by Lu, Yawen, Sun, Zhuoyang, Shao, Jinyuan, Guo, Qianyu, Huang, Yunhan, Fei, Songlin, Chen, Victor

    Published: IEEE 16.03.2024
    “… In this work, we contribute an unreal-based LiDAR simulation tool and a 3D simulation dataset named LiDAR-Forest, which can be used by various studies to evaluate forest reconstruction, tree DBH…”
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    Conference Proceeding
  2. 2

    M2fNet: Multi-Modal Forest Monitoring Network on Large-Scale Virtual Dataset by Lu, Yawen, Huang, Yunhan, Sun, Su, Zhang, Tansi, Zhang, Xuewen, Fei, Songlin, Chen, Victor

    Published: IEEE 16.03.2024
    “…Forest monitoring and education are key to forest protection, education and management, which is an effective way to measure the progress of a country's forest…”
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    Conference Proceeding
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    Introducing Instruction-Accurate Simulators for Performance Estimation of Autotuning Workloads by Pelke, Rebecca, Bosbach, Nils, Reimann, Lennart M., Leupers, Rainer

    Published: 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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  5. 5

    Invited: Autonomous Driving Digital Twin Empowered Design Automation: An Industry Perspective by Yu, Bo, Tang, Jie, Liu, Shao-Shan

    Published: 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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  6. 6

    In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators by Humeniuk, Dmytro, Ben Braiek, Houssem, Reid, Thomas, Khomh, Foutse

    ISSN: 2643-1572
    Published: 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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  7. 7

    A Full-system, Programmable, and Extensible In-Memory Computing Simulation Framework for Deep Learning by Zhou, Kaining, Huang, Jian, Kim, Nam Sung, Shanbhag, Naresh

    Published: 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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  8. 8

    TEASER: Simulation-Based CAN Bus Regression Testing for Self-Driving Cars Software by Birchler, Christian, Rohrbach, Cyrill, Kim, Hyeongkyun, Gambi, Alessio, Liu, Tianhai, Horneber, Jens, Kehrer, Timo, Panichella, Sebastiano

    ISSN: 2643-1572
    Published: 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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  9. 9

    SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System by Yin, Ziang, Zhang, Meng, Gangi, Nicholas, Huang, Rena, Zhang, Jeff, Gu, Jiaqi

    Published: IEEE 22.06.2025
    “… The lack of a flexible, accurate, fast, and easy-to-use EPIC AI system simulation framework significantly limits the exploration of hardware innovations and system evaluations on common benchmark…”
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  10. 10

    GSIM: Accelerating RTL Simulation for Large-Scale Designs by Chen, Lu, Zhao, Dingyi, Yu, Zihao, Sun, Ninghui, Bao, Yungang

    Published: IEEE 22.06.2025
    “…Register Transfer Level (RTL) simulation is widely used in design space exploration, verification, debugging, and preliminary performance evaluation for hardware design…”
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  11. 11

    Performance and Accuracy in Soft-Error Resilience Evaluation using the Multi-Level Processor Simulator ETISS-ML by Mueller-Gritschneder, Daniel, Sharif, Uzair, Schlichtmann, Ulf

    ISSN: 1558-2434
    Published: ACM 01.11.2018
    “… In this paper, we present ETISS-ML, a multi-level processor simulator, which manages to achieve both accuracy and performance for fault simulation by intelligently switching the level of abstraction…”
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  12. 12

    Modeling and Simulation of Collective Algorithms on HPC Network Topologies using Structural Simulation Toolkit by Chenna, Sai P., Steyer, Michael, Kumar, Nalini, Garzaran, Maria, Thierry, Philippe

    Published: 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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  13. 13

    Enabling Data Reduction for Flash-X Simulations by Jain, Rajeev, Tang, Houjun, Dhruv, Akash, Byna, Suren

    Published: IEEE 17.11.2024
    “…High-fidelity physics simulation codes, such as Flash-X, generate large amounts of simulation data…”
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  14. 14

    Semantics of Co-simulation Algorithms with Simulator Contracts by Gomes, Claudio, Lucio, Levi, Vangheluwe, Hans

    Published: IEEE 01.09.2019
    “…The rapid adoption of co-simulation techniques allows for holistic complex system development…”
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  15. 15

    The Fused Multiply-Add and Global Atmospheric Models: A Distributional Investigation into a Surprising Correctness Scenario by Price-Broncucia, Teo, Baker, Allison H., Duda, Michael

    Published: IEEE 17.11.2024
    “… are passed as expected? This work explores the impacts of FMA on GCM simulation output from a distributional perspective and provides directions for future work to enable model developers and users to use numerical…”
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  16. 16

    J-Sim: A Simulation Environment for Wireless Sensor Networks by Sobeih, Ahmed, Chen, Wei-Peng, Hou, Jennifer C., Kung, Lu-Chuan, Li, Ning, Lim, Hyuk, Tyan, Hung-Ying, Zhang, Honghai

    ISBN: 9780769523224, 0769523226
    ISSN: 1080-241X
    Published: Washington, DC, USA IEEE Computer Society 04.04.2005
    Published in 38th Annual Simulation Symposium (04.04.2005)
    “… In this paper, we present a modeling and simulation framework for WSNs in J-Sim - an open-source, component-based compositional network simulation environment that is developed entirely in Java…”
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  17. 17

    Web-Based Simulator of Superscalar RISC-V Processors by Jaros, Jiri, Majer, Michal, Horky, Jakub, Vavra, Jan

    Published: IEEE 17.11.2024
    “…Mastering computational architectures is essential for developing fast and power-efficient programs. Our advanced simulator empowers both IT students and…”
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    SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data by Agarwal, Tripti, Di, Sheng, Huang, Jiajun, Huang, Yafan, Gopalakrishnan, Ganesh, Underwood, Robert, Zhao, Kai, Liang, Xin, Li, Guanpeng, Cappello, Franck

    Published: IEEE 17.11.2024
    “…Error-bounded lossy compression has been a critical technique to significantly reduce the sheer amounts of simulation datasets for high-performance computing (HPC…”
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  20. 20

    Simulation as a Service for Cooperative Vehicles by Kirchhof, Jorg Christian, Kusmenko, Evgeny, Rumpe, Bernhard, Zhang, Hengwen

    Published: IEEE 01.09.2019
    “…Simulating connected vehicles in realistic environments is a computationally expensive task, particularly when large numbers of traffic participants are involved…”
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