Výsledky vyhledávání - "Computing methodologies Modeling and simulation Model development and analysis"

Evaluating Terminology Translation in Machine Translation Systems via Metamorphic Testing Autor 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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EI-MOR: A Hybrid Exponential Integrator and Model Order Reduction Approach for Transient Power/Ground Network Analysis Autor 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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Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling Autor 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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Energy Efficiency Boost in the AI-Infused POWER10 Processor Autor 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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Contention-Aware Forecasting of Energy Efficiency through Sequence-Based Models in Modern Heterogeneous Processors Autor 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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Fast End-to-End Simulation and Exploration of Many-RISCV-Core Baseband Transceivers for Software-Defined Radio-Access Networks Autor Bertuletti, Marco, Zhang, Yichao, Abdollahpour, Mahdi, Riedel, Samuel, Vanelli-Coralli, Alessandro, Benini, Luca

“…The fast-rising demand for wireless bandwidth [1] requires rapid evolution of high-performance baseband processing infrastructure. Programmable many-core…”
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White-Box Performance-Influence Models: A Profiling and Learning Approach Autor Weber, Max, Apel, Sven, Siegmund, Norbert

“…Many modern software systems are highly configurable, allowing the user to tune them for performance and more. Current performance modeling approaches aim at…”
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PRIMAL: Power Inference using Machine Learning Autor Zhou, Yuan, Ren, Haoxing, Zhang, Yanqing, Keller, Ben, Khailany, Brucek, Zhang, Zhiru

“…This paper introduces PRIMAL, a novel learning-based frame-work that enables fast and accurate power estimation for ASIC designs. PRIMAL trains machine…”
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Compositing for small cameras Autor Klein, Georg, Murray, David

“…To achieve a realistic integration of virtual and real imagery in video see-through augmented reality, the rendered images should have a similar appearance and…”
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High-Performance Computing Architecture Exploration with Stage-Enhanced Bayesian Optimization Autor Fu, Vincent, Benazouz, Mohamed, Zaourar, Lilia, Munier-Kordon, Alix

“…The emergence of new applications in high-performance computing is driving the need for more efficient computing machines. As supercomputer architectures…”
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Accurate phase-level cross-platform power and performance estimation Autor Xinnian Zheng, John, Lizy K., Gerstlauer, Andreas

“…Fast and accurate performance and power prediction is a key challenge in co-development of hardware and software. Traditional analytical or simulation-based…”
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FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Autor She, Yining, Biswas, Sumon, Kastner, Christian, Kang, Eunsuk

“…Algorithmic fairness of machine learning (ML) models has raised significant concern in the recent years. Many testing, verification, and bias mitigation…”
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Towards Realistic, Applicable and Feasible Configuration-Aware Performance Modeling Autor Xia, Yuanjie

“…In modern software systems, configurability has become essential for optimizing performance across varying scenarios and user demands. However, predicting…”
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Performance Characterization of Popular DNN Models on Out-of-Order CPUs Autor Prieto, Pablo, Abad, Pablo, Gregorio, Jose Angel, Puente, Valentin

“…DNN popularity, which is driving advances in a growing number of fields, has increased the amount of computing resources running this kind of applications at…”
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PM10 Data Assimilation on Real-time Agent-based Simulation using Machine Learning Models: case of Dakar Urban Air Pollution Study Autor Ngom, Bassirou, Diallo, Moussa, Seyc, Madoune Robert, Drame, Mamadou Simina, Cambier, Christophe, Marilleau, Nicolas

“…High air pollution is a major health risk. Heavy urbanisation favours the degradation of air quality in large cities such as Dakar. In this city, the annual…”
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Parallel Simulation of Stochastic Reward Nets using Theatre Autor Cicirelli, Franco, Nigro, Libero

“…The work described in this paper develops a methodology for modelling and analysis of complex timed systems. The methodology is based on the Stochastic Reward…”
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MTL-Designer: An Integrated Flow for Analysis and Synthesis of Microstrip Transmission Line Autor Wang, Qipan, Liu, Ping, Jiang, Liguo, Liu, Mingjie, Lin, Yibo, Wang, Runsheng, Huang, Ru

“…Microstrip transmission line (MTL) appears extensively in microwave integrated circuits (MIC). To sufficiently analyze and synthesize the MTL, we propose…”
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A Comprehensive Memory Modeling Tool and Its Application to the Design and Analysis of Future Memory Hierarchies Autor Thoziyoor, Shyamkumar, Ahn, Jung Ho, Monchiero, Matteo, Brockman, Jay B., Jouppi, Norman P.

“…In this paper we introduce CACTI-D, a significant enhancement of CACTI 5.0. CACTI-D adds support for modeling of commodity DRAM technology and support for main…”
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An Instruction-Level Power and Energy Model for the Rocket Chip Generator Autor Wang, Zhiping, Davis, W. Rhett

“…As digital systems become more power and energy constrained, the need for optimizing these quantities early in the design process grows ever more important…”
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Mastering Uncertainty in Performance Estimations of Configurable Software Systems Autor Dorn, Johannes, Apel, Sven, Siegmund, Norbert

“…Understanding the influence of configuration options on performance is key for finding optimal system configurations, system understanding, and performance…”
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