Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Zheng Weijian"'
Autor:
Shaik, Kareem, Wang, Dali, Zheng, Weijian, Cao, Qinglei, Fan, Heng, Schwartz, Peter, Feng, Yunhe
The understanding of large-scale scientific software poses significant challenges due to its diverse codebase, extensive code length, and target computing architectures. The emergence of generative AI, specifically large language models (LLMs), provi
Externí odkaz:
http://arxiv.org/abs/2403.10588
Autor:
Pruyne, Jim, Hayot-Sasson, Valerie, Zheng, Weijian, Chard, Ryan, Wozniak, Justin M., Bicer, Tekin, Chard, Kyle, Foster, Ian T.
Experimental science is increasingly driven by instruments that produce vast volumes of data and thus a need to manage, compute, describe, and index this data. High performance and distributed computing provide the means of addressing the computing n
Externí odkaz:
http://arxiv.org/abs/2403.06077
Autor:
Zheng, Weijian, Park, Jun-Sang, Kenesei, Peter, Ali, Ahsan, Liu, Zhengchun, Foster, Ian T., Schwarz, Nicholas, Kettimuthu, Rajkumar, Miceli, Antonino, Sharma, Hemant
High-energy X-ray diffraction methods can non-destructively map the 3D microstructure and associated attributes of metallic polycrystalline engineering materials in their bulk form. These methods are often combined with external stimuli such as therm
Externí odkaz:
http://arxiv.org/abs/2312.03989
Autor:
Zhang, Chengming, Sun, Baixi, Yu, Xiaodong, Xie, Zhen, Zheng, Weijian, Iskra, Kamil, Beckman, Pete, Tao, Dingwen
Transformer models have achieved remarkable success in various machine learning tasks but suffer from high computational complexity and resource requirements. The quadratic complexity of the self-attention mechanism further exacerbates these challeng
Externí odkaz:
http://arxiv.org/abs/2309.16976
Autor:
Wu, Fan, Xu, Mingyang, Zhong, Wei, Chen, Kailun, Ma, Cong, Dong, Yihua, Zheng, Weijian, Zhao, Shenyi, Jiang, Yuehong, Zhang, Xi, Lin, Junguang
Publikováno v:
In Case Studies in Thermal Engineering July 2024 59
Large scale graph optimization problems arise in many fields. This paper presents an extensible, high performance framework (named OpenGraphGym-MG) that uses deep reinforcement learning and graph embedding to solve large graph optimization problems w
Externí odkaz:
http://arxiv.org/abs/2105.08764
Publikováno v:
ICC 2021 - IEEE International Conference on Communications, 2021, pp. 1-6
The micromobility is shaping first- and last-mile travels in urban areas. Recently, shared dockless electric scooters (e-scooters) have emerged as a daily alternative to driving for short-distance commuters in large cities due to the affordability, e
Externí odkaz:
http://arxiv.org/abs/2010.15203
Akademický článek
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Akademický článek
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The amount of large-scale scientific computing software is dramatically increasing. In this work, we designed a new language, named feature query language (FQL), to collect and extract software features from a quick static code analysis. We designed
Externí odkaz:
http://arxiv.org/abs/1905.09364