Search Results - "Computing methodologies: Modeling and simulation"

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

“…Accelerating Machine Learning (ML) workloads requires efficient methods due to their large optimization space. Autotuning has emerged as an effective approach…”
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Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models by Baresi, Luciano, Xian Hu, Davide Yi, Stocco, Andrea, Tonella, Paolo

“…Simulation-based testing is widely used to assess the reliability of Autonomous Driving Systems (ADS), but its effectiveness is limited by the operational…”
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Invited: Autonomous Driving Digital Twin Empowered Design Automation: An Industry Perspective by 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…”
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A Multi‐layer Solver for XPBD by Mercier‐Aubin, A., Kry, P. G.

“…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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A Distributed Simulation Approach to Integrate AnyLogic and Unity for Virtual Reality Applications: Case of COVID-19 Modelling and Training in a Dialysis Unit by Possik, Jalal, Gorecki, Simon, Asgary, Ali, Solis, Adriano O., Zacharewicz, Gregory, Tofighi, Mohammadali, Shafiee, Mohammad Ali, Merchant, Asad A., Aarabi, Mehdi, Guimaraes, Abel, Nadri, Nazanin

“…Different heterogeneous simulation components can be integrated to produce a more effective complex global system. The IEEE High-Level Architecture (HLA) is an…”
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Towards Differentiable Electron Microscopy Simulation: Methods and Applications by Nguyen, Ngan, Liang, Feng, Engel, Dominik, Bohak, Ciril, Strnad, Ondrej, Ropinski, Timo, Viola, Ivan

“…We propose a new microscopy simulation system that can depict atomistic models in a micrograph visual style, similar to physical electron microscopy imaging…”
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Detailed Rigid Body Simulation with Extended Position Based Dynamics by Müller, Matthias, Macklin, Miles, Chentanez, Nuttapong, Jeschke, Stefan, Kim, Tae‐Yong

“…We present a rigid body simulation method that can resolve small temporal and spatial details by using a quasi explicit integration scheme that is…”
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Evaluating Terminology Translation in Machine Translation Systems via Metamorphic Testing by Xu, Yihui, Li, Yanhui, Wang, Jun, Zhang, Xiaofang

“…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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Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling by Wu, Yannan Nellie, Tsai, Po-An, Parashar, Angshuman, Sze, Vivienne, Emer, Joel S.

“…In recent years, many accelerators have been proposed to efficiently process sparse tensor algebra applications (e.g., sparse neural networks). However, these…”
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The Dataflow Abstract Machine Simulator Framework by Zhang, Nathan, Lacouture, Rubens, Sohn, Gina, Mure, Paul, Zhang, Qizheng, Kjolstad, Fredrik, Olukotun, Kunle

“…The growing interest in novel dataflow architectures and streaming execution paradigms has created the need for a simulator optimized for modeling dataflow…”
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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

“…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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SURFNet: Super-Resolution of Turbulent Flows with Transfer Learning using Small Datasets by Obiols-Sales, Octavi, Vishnu, Abhinav, Malaya, Nicholas P., Chandramowlishwaran, Aparna

“…Deep Learning (DL) algorithms are emerging as a key alternative to computationally expensive CFD simulations. However, state-of-the-art DL approaches require…”
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In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators by Humeniuk, Dmytro, Ben Braiek, Houssem, Reid, Thomas, Khomh, Foutse

“…Testing autonomous robotic manipulators is challenging due to the complex software interactions between vision and control components. A crucial element of…”
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Primal/Dual Descent Methods for Dynamics by Macklin, M., Erleben, K., Müller, M., Chentanez, N., Jeschke, S., Kim, T.Y.

“…We examine the relationship between primal, or force‐based, and dual, or constraint‐based formulations of dynamics. Variational frameworks such as Projective…”
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Energy Efficiency Boost in the AI-Infused POWER10 Processor by Thompto, Brian W., Nguyen, Dung Q., Moreira, Jose E., Bertran, Ramon, Jacobson, Hans, Eickemeyer, Richard J., Rao, Rahul M., Goulet, Michael, Byers, Marcy, Gonzalez, Christopher J., Swaminathan, Karthik, Dhanwada, Nagu R., Muller, Silvia M., Wagner, Andreas, Sadasivam, Satish Kumar, Montoye, Robert K., Starke, William J., Zoellin, Christian G., Floyd, Michael S., Stuecheli, Jeffrey, Chandramoorthy, Nandhini, Wellman, John-David, Buyuktosunoglu, Alper, Pflanz, Matthias, Sinharoy, Balaram, Bose, Pradip

“…We present the novel micro-architectural features, supported by an innovative and novel pre-silicon methodology in the design of POWER10. The resulting…”
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A Survey of Indicators for Mesh Quality Assessment by Sorgente, T., Biasotti, S., Manzini, G., Spagnuolo, M.

“…We analyze the joint efforts made by the geometry processing and the numerical analysis communities in the last decades to define and measure the concept of…”
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EI-MOR: A Hybrid Exponential Integrator and Model Order Reduction Approach for Transient Power/Ground Network Analysis by Wang, Cong, Yang, Dongen, Chen, Quan

“…Exponential integrator (EI) method has been proved to be an effective technique to accelerate large-scale transient power/ground network analysis. However, EI…”
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A Full-system, Programmable, and Extensible In-Memory Computing Simulation Framework for Deep Learning by 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…”
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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

“…Electronic-photonic integrated circuits (EPICs) offer transformative potential for next-generation high-performance AI, but they require interdisciplinary…”
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Contention-Aware Forecasting of Energy Efficiency through Sequence-Based Models in Modern Heterogeneous Processors by Sikal, Mohammed Bakr, Gonzalez-Gomez, Jeferson, Khdr, Heba, Henkel, Jorg

“…We present EffiCast, the first methodology for contentionaware energy efficiency forecasting in clustered heterogeneous processors using sequence-based models…”
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