Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Wu, Kesheng"'
Autor:
Gu, Junmin, Lin, Paul, Wu, Kesheng, Ku, Seung-Hoe, Chang, C. S., Churchill, R. Michael, Choi, Jong, Podhorszki, Norbert, Klasky, Scott
This work starts an in situ processing capability to study a certain diffusion process in magnetic confinement fusion. This diffusion process involves plasma particles that are likely to escape confinement. Such particles carry a significant amount o
Externí odkaz:
http://arxiv.org/abs/2311.01288
Autor:
Eichenberger, Alexandre, Lin, Qi, Masood, Saif, Min, Hong, Sim, Alexander, Wang, Jie, Wang, Yida, Wu, Kesheng, Yuan, Binhang, Zhou, Lixi, Zou, Jia
Serving deep learning (DL) models on relational data has become a critical requirement across diverse commercial and scientific domains, sparking growing interest recently. In this visionary paper, we embark on a comprehensive exploration of represen
Externí odkaz:
http://arxiv.org/abs/2310.04696
Autor:
Sharma, Ankita, Li, Xuanmao, Guan, Hong, Sun, Guoxin, Zhang, Liang, Wang, Lanjun, Wu, Kesheng, Cao, Lei, Zhu, Erkang, Sim, Alexander, Wu, Teresa, Zou, Jia
Publikováno v:
2023 IEEE International Conference on Big Data
Existing approaches to automatic data transformation are insufficient to meet the requirements in many real-world scenarios, such as the building sector. First, there is no convenient interface for domain experts to provide domain knowledge easily. S
Externí odkaz:
http://arxiv.org/abs/2309.01957
Autor:
Sim, Caitlin, Wu, Kesheng, Sim, Alex, Monga, Inder, Guok, Chin, Wurthwein, Frank, Davila, Diego, Newman, Harvey, Balcas, Justas
Large scientific collaborations often have multiple scientists accessing the same set of files while doing different analyses, which create repeated accesses to the large amounts of shared data located far away. These data accesses have long latency
Externí odkaz:
http://arxiv.org/abs/2307.11069
To ensure reliability, power transformers are monitored for partial discharge (PD) events, which are symptoms of transformer failure. Since failures can have catastrophic cascading consequences, it is critical to preempt them as early as possible. Ou
Externí odkaz:
http://arxiv.org/abs/2210.12216
In modeling time series data, we often need to augment the existing data records to increase the modeling accuracy. In this work, we describe a number of techniques to extract dynamic information about the current state of a large scientific workflow
Externí odkaz:
http://arxiv.org/abs/2205.09703
Autor:
Jin, Ling, Lazar, Alina, Brown, Caitlin, Sun, Bingrong, Garikapati, Venu, Ravulaparthy, Srinath, Chen, Qianmiao, Sim, Alexander, Wu, Kesheng, Ho, Tin, Wenzel, Thomas, Spurlock, C. Anna
What makes you hold on that old car? While the vast majority of the household vehicles are still powered by conventional internal combustion engines, the progress of adopting emerging vehicle technologies will critically depend on how soon the existi
Externí odkaz:
http://arxiv.org/abs/2205.06622
Autor:
Bellavita, Julian, Sim, Alex, Wu, Kesheng, Monga, Inder, Guok, Chin, Würthwein, Frank, Davila, Diego
The XRootD system is used to transfer, store, and cache large datasets from high-energy physics (HEP). In this study we focus on its capability as distributed on-demand storage cache. Through exploring a large set of daily log files between 2020 and
Externí odkaz:
http://arxiv.org/abs/2205.05598
Autor:
Han, Ruize, Sim, Alex, Wu, Kesheng, Monga, Inder, Guok, Chin, Würthwein, Frank, Davila, Diego, Balcas, Justas, Newman, Harvey
Scientific collaborations are increasingly relying on large volumes of data for their work and many of them employ tiered systems to replicate the data to their worldwide user communities. Each user in the community often selects a different subset o
Externí odkaz:
http://arxiv.org/abs/2205.05563
Motivated by extreme multi-label classification applications, we consider training deep learning models over sparse data in multi-GPU servers. The variance in the number of non-zero features across training batches and the intrinsic GPU heterogeneity
Externí odkaz:
http://arxiv.org/abs/2110.07029