no code implementations • 7 Oct 2023 • Alexandre Eichenberger, Qi Lin, Saif Masood, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Lixi Zhou, Jia Zou
Serving deep learning (DL) models on relational data has become a critical requirement across diverse commercial and scientific domains, sparking growing interest recently.
no code implementations • 20 Jul 2023 • Caitlin Sim, Kesheng Wu, Alex Sim, Inder Monga, Chin Guok, Frank Wurthwein, Diego Davila, Harvey Newman, Justas Balcas
We also build a machine learning model to study the predictability of the cache behavior.
no code implementations • 21 Oct 2022 • Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo
These features represent the entire signal and not just a single phase, so the feature set has a fixed size and is easily comprehensible.
no code implementations • 19 May 2022 • Jeeyung Kim, Mengtian Jin, Youkow Homma, Alex Sim, Wilko Kroeger, Kesheng Wu
In this work, we describe a number of techniques to extract dynamic information about the current state of a large scientific workflow, which could be generalized to other types of applications.
no code implementations • 11 May 2022 • Ruize Han, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Justas Balcas, Harvey Newman
Our study shows that this distributed storage cache is able to reduce the network traffic volume by a factor of 2. 35 during a part of the study period.
1 code implementation • 13 Oct 2021 • Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim
We address these challenges with Adaptive SGD, an adaptive elastic model averaging stochastic gradient descent algorithm for heterogeneous multi-GPUs that is characterized by dynamic scheduling, adaptive batch size scaling, and normalized model merging.
no code implementations • 26 Apr 2021 • Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm
Botnet detection is a critical step in stopping the spread of botnets and preventing malicious activities.
no code implementations • 16 Feb 2021 • Ling Jin, C. Anna Spurlock, Sam Borgeson, Alina Lazar, Daniel Fredman, Annika Todd, Alexander Sim, Kesheng Wu
Large-scale deployment of smart meters has motivated increasing studies to explore disaggregated daily load patterns, which can reveal important heterogeneity across different time scales, weather conditions, as well as within and across individual households.
no code implementations • 15 Oct 2020 • Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin, Kesheng Wu
Deep Learning approaches for real, large, and complex scientific data sets can be very challenging to design.
no code implementations • 15 Oct 2020 • Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin, Kesheng Wu
Moving loads such as cars and trains are very useful sources of seismic waves, which can be analyzed to retrieve information on the seismic velocity of subsurface materials using the techniques of ambient noise seismology.
1 code implementation • SoftwareX 2020 • William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip Davis, Jong Choi, Kai Germaschewski, Kevin Huck, Axel Huebl, Mark Kim, James Kress, Tahsin Kurc, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky
We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System.
no code implementations • 1 Apr 2020 • Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu
Botnets are increasingly used by malicious actors, creating increasing threat to a large number of internet users.
no code implementations • 1 Nov 2018 • Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu
Computational efficiency is an important consideration for deploying machine learning models for time series prediction in an online setting.