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  1. 1

    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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    Conference Proceeding
  2. 2

    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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    Conference Proceeding
  3. 3
  4. 4

    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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    Conference Proceeding
  5. 5

    Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models by Baresi, Luciano, Xian Hu, Davide Yi, Stocco, Andrea, Tonella, Paolo

    ISSN: 1558-1225
    Published: IEEE 26.04.2025
    “…Simulation-based testing is widely used to assess the reliability of Autonomous Driving Systems (ADS…”
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    Conference Proceeding
  6. 6

    GEM: GPU-Accelerated Emulator-Inspired RTL Simulation by Guo, Zizheng, Zhang, Yanqing, Wang, Runsheng, Lin, Yibo, Ren, Haoxing

    Published: 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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  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

    Versatile Cross-platform Compilation Toolchain for Schrödinger-style Quantum Circuit Simulation by Lu, Yuncheng, Liang, Shuang, Fan, Hongxiang, Guo, Ce, Luk, Wayne, Kelly, Paul H. J.

    Published: IEEE 22.06.2025
    “… Efficient classical simulators for high-performance quantum simulation are critical to meeting this demand…”
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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
    “…s. To address this gap, we propose SimPhony, a cross-layer modeling and simulation framework for heterogeneous electronic-photonic AI systems…”
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  10. 10

    Towards Differentiable Electron Microscopy Simulation: Methods and Applications by Nguyen, Ngan, Liang, Feng, Engel, Dominik, Bohak, Ciril, Strnad, Ondrej, Ropinski, Timo, Viola, Ivan

    ISSN: 2165-8773
    Published: IEEE 23.04.2024
    Published in 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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    Conference Proceeding
  11. 11

    SDM-PEB: Spatial-Depthwise Mamba for Enhanced Post-Exposure Bake Simulation by Yu, Ziyang, Xu, Peng, Wang, Zixiao, Zhu, Binwu, Wang, Qipan, Lin, Yibo, Wang, Runsheng, Yu, Bei, Wong, Martin

    Published: IEEE 22.06.2025
    “… In this paper, we introduce SDM-PEB, an advanced modeling framework designed to enhance the accuracy of PEB simulations by capturing both intra-layer spatial dependencies and inter-layer depthwise interactions…”
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    Conference Proceeding
  12. 12

    LLM-Agents Driven Automated Simulation Testing and Analysis of small Uncrewed Aerial Systems by Duvvuru, Venkata Sai Aswath, Zhang, Bohan, Vierhauser, Michael, Agrawal, Ankit

    ISSN: 1558-1225
    Published: IEEE 26.04.2025
    “…Thorough simulation testing is crucial for validating the correct behavior of small Uncrewed Aerial Systems (sUAS…”
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  13. 13

    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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  14. 14

    FireAxe: Partitioned FPGA-Accelerated Simulation of Large-Scale RTL Designs by Whangbo, Joonho, Lim, Edwin, Zhang, Chengyi Lux, Anderson, Kevin, Gonzalez, Abraham, Gupta, Raghav, Krishnakumar, Nivedha, Karandikar, Sagar, Nikolic, Borivoje, Shao, Yakun Sophia, Asanovic, Krste

    Published: IEEE 29.06.2024
    “… components, system software, and application code. Although this process can be accelerated using FPGAs as a simulation host, existing platforms fall short when the resource requirements of a custom hardware design exceed a single FPGA…”
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  15. 15

    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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    Conference Proceeding
  16. 16

    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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  17. 17

    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
    “… Ideally, safety-critical systems should be resilient against the impact of soft errors, but at a low cost…”
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  18. 18

    MGPUSim: Enabling Multi-GPU Performance Modeling and Optimization by Sun, Yifan, Baruah, Trinayan, Mojumder, Saiful A., Dong, Shi, Gong, Xiang, Treadway, Shane, Bao, Yuhui, Hance, Spencer, McCardwell, Carter, Zhao, Vincent, Barclay, Harrison, Ziabari, Amir Kavyan, Chen, Zhongliang, Ubal, Rafael, Abellan, Jose L., Kim, John, Joshi, Ajay, Kaeli, David

    ISSN: 2575-713X
    Published: ACM 01.06.2019
    “… The research community currently lacks a publicly available and comprehensive multi-GPU simulation framework to evaluate next- generation multi-GPU system designs…”
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  19. 19

    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
    “… Given the scale of DL workloads, it is crucial to evaluate the scaling efficiency of these algorithms on a variety of system architectures…”
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  20. 20

    The Dataflow Abstract Machine Simulator Framework by Zhang, Nathan, Lacouture, Rubens, Sohn, Gina, Mure, Paul, Zhang, Qizheng, Kjolstad, Fredrik, Olukotun, Kunle

    Published: 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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