Suchergebnisse - Computing methodologies: Simulation environment

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

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

“… 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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Putree: A Photorealistic Large-Scale Virtual Benchmark for Forest Training von Lu, Yawen, Huang, Yunhan, Sun, Su, Fei, Songlin, Chen, Victor

“… environments in VR/AR applications …”
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Introducing Instruction-Accurate Simulators for Performance Estimation of Autotuning Workloads von Pelke, Rebecca, Bosbach, Nils, Reimann, Lennart M., Leupers, Rainer

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

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

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

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

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

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

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

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

“… We have extended the Structural Simulation Toolkit (SST) to simulate allreduce and barrier algorithms - Rabenseifner, ring, and, dissemination algorithms …”
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Enabling Data Reduction for Flash-X Simulations von Jain, Rajeev, Tang, Houjun, Dhruv, Akash, Byna, Suren

“… High-fidelity physics simulation codes, such as Flash-X, generate large amounts of simulation data …”
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Semantics of Co-simulation Algorithms with Simulator Contracts von Gomes, Claudio, Lucio, Levi, Vangheluwe, Hans

“… The rapid adoption of co-simulation techniques allows for holistic complex system development …”
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The Fused Multiply-Add and Global Atmospheric Models: A Distributional Investigation into a Surprising Correctness Scenario von Price-Broncucia, Teo, Baker, Allison H., Duda, Michael

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

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

“… Mastering computational architectures is essential for developing fast and power-efficient programs. Our advanced simulator empowers both IT students and …”
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Simulating Large-scale Models of Brain Neuronal Circuits using Google Cloud Platform von Sivagnanam, Subhashini, Gorman, Wyatt, Doherty, Donald, Neymotin, Samuel A, Fang, Stephan, Hovhannisyan, Hermine, Lytton, William W, Dura-Bernal, Salvador

“… Biophysically detailed modeling provides an unmatched method to integrate data from many disparate experimental studies, and manipulate and explore with high precision the resultin brain circuit simulation …”
Weitere Angaben

SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data von Agarwal, Tripti, Di, Sheng, Huang, Jiajun, Huang, Yafan, Gopalakrishnan, Ganesh, Underwood, Robert, Zhao, Kai, Liang, Xin, Li, Guanpeng, Cappello, Franck

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

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