151 citations · 486 across the 27 of their papers we have counts for
7 papers · 1 filter
High-Performance Ptychographic Reconstruction with Federated Facilities
Tekin Bicer, Xiaodong Yu, Daniel J. Ching +5
Beamlines at synchrotron light source facilities are powerful scientific instruments used to image samples and observe phenomena at high spatial and temporal resolutions. Typically…
Illinois Express Quantum Network for Distributing and Controlling Entanglement on Metro-Scale
Wenji Wu, Joaquin Chung, Gregory Kanter +12
We describe an implementation of a quantum network over installed fiber in the Chicago area.We present network topology and control architecture of this network and illustrate prel…
Parallel Simulation of Quantum Networks with Distributed Quantum State Management
Xiaoliang Wu, Alexander Kolar, Joaquin Chung +3
Quantum network simulators offer the opportunity to cost-efficiently investigate potential avenues to building networks that scale with the number of users, communication distance,…
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes
Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka +1
Supercomputer FCFS-based scheduling policies result in many transient idle nodes, a phenomenon that is only partially alleviated by backfill scheduling methods that promote small j…
Illinois Express Quantum Network (IEQNET): Metropolitan-scale experimental quantum networking over deployed optical fiber
Joaquin Chung, Gregory Kanter, Nikolai Lauk +11
The Illinois Express Quantum Network (IEQNET) is a program to realize metro-scale quantum networking over deployed optical fiber using currently available technology. IEQNET consis…
Towards Accommodating Real-time Jobs on HPC Platforms
Sam Nickolay, Eun-Sung Jung, Rajkumar Kettimuthu +1
Increasing data volumes in scientific experiments necessitate the use of high-performance computing (HPC) resources for data analysis. In many scientific fields, the data generated…
Fast and accurate learned multiresolution dynamical downscaling for precipitation
Jiali Wang, Zhengchun Liu, Ian Foster +3
This study develops a neural network-based approach for emulating high-resolution modeled precipitation data with comparable statistical properties but at greatly reduced computati…