177 citations · 276 across the 14 of their papers we have counts for
14 papers
Analyzing Transatlantic Network Traffic over Scientific Data Caches
Z. Deng, A. Sim, K. Wu +6
Large scientific collaborations often share huge volumes of data around the world. Consequently a significant amount of network bandwidth is needed for data replication and data ac…
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization
Lipeng Wan, Axel Huebl, Junmin Gu +12
The applications being developed within the U.S. Exascale Computing Project (ECP) to run on imminent Exascale computers will generate scientific results with unprecedented fidelity…
Analyzing scientific data sharing patterns for in-network data caching
Elizabeth Copps, Huiyi Zhang, Alex Sim +6
The volume of data moving through a network increases with new scientific experiments and simulations. Network bandwidth requirements also increase proportionally to deliver data w…
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning
Jeeyung Kim, Alex Sim, Jinoh Kim +2
Botnet detection is a critical step in stopping the spread of botnets and preventing malicious activities. However, reliable detection is still a challenging task, due to a wide va…
Deep Learning on Real Geophysical Data: A Case Study for Distributed Acoustic Sensing Research
Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin +1
Deep Learning approaches for real, large, and complex scientific data sets can be very challenging to design. In this work, we present a complete search for a finely-tuned and effi…
Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data
Vincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin +1
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 t…
Botnet Detection Using Recurrent Variational Autoencoder
Jeeyung Kim, Alex Sim, Jinoh Kim +1
Botnets are increasingly used by malicious actors, creating increasing threat to a large number of internet users. To address this growing danger, we propose to study methods to de…
IDEALEM: Statistical Similarity Based Data Reduction
Dongeun Lee, Alex Sim, Jaesik Choi +1
Many applications such as scientific simulation, sensing, and power grid monitoring tend to generate massive amounts of data, which should be compressed first prior to storage and…
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction
Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li +2
Computational efficiency is an important consideration for deploying machine learning models for time series prediction in an online setting. Machine learning algorithms adjust mod…
Distributed Caching for Complex Querying of Raw Arrays
Weijie Zhao, Florin Rusu, Bin Dong +3
As applications continue to generate multi-dimensional data at exponentially increasing rates, fast analytics to extract meaningful results is becoming extremely important. The dat…
ArrayBridge: Interweaving declarative array processing with high-performance computing
Haoyuan Xing, Sofoklis Floratos, Spyros Blanas +4
Scientists are increasingly turning to datacenter-scale computers to produce and analyze massive arrays. Despite decades of database research that extols the virtues of declarative…
Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer
Gili Rosenberg, Poya Haghnegahdar, Phil Goddard +3
We solve a multi-period portfolio optimization problem using D-Wave Systems' quantum annealer. We derive a formulation of the problem, discuss several possible integer encoding sch…
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma
Lingfei Wu, Kesheng Wu, Alex Sim +5
A novel algorithm and implementation of real-time identification and tracking of blob-filaments in fusion reactor data is presented. Similar spatio-temporal features are important…
Analytic normalization of analytically integrable differential systems near a periodic orbit
Kesheng Wu, Xiang Zhang
For an analytic differential system in with a periodic orbit, we will prove that if the system is analytically integrable around the periodic orbit, i.e. it has …