151 citations · 486 across the 27 of their papers we have counts for
29 papers
LAM: Efficient Lossy Agent Memory Framework With A Retrieval-Score Error Bound
Baixi Sun, Le Chen, Anjir Ahmed Chowdhury +10
Agent memory grows as agents read inputs, reason, and call tools. Longer histories increase inference cost and eventually exceed the context window. LLM-based summarization reduces…
Diffusion-Based, Data-Assimilation-Enabled Super-Resolution of Hub-height Winds
Xiaolong Ma, Xu Dong, Ashley Tarrant +5
High-quality observations of hub-height winds are valuable but sparse in space and time. Simulations are widely available on regular grids but are generally biased and too coarse t…
Ptychographic Image Reconstruction from Limited Data via Score-Based Diffusion Models with Physics-Guidance
Refik Mert Cam, Junjing Deng, Rajkumar Kettimuthu +2
Ptychography is a data-intensive computational imaging technique that achieves high spatial resolution over large fields of view. The technique involves scanning a coherent beam ac…
MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes
Xiaolong Ma, Feng Yan, Lei Yang +4
First-come first-serve scheduling can result in substantial (up to 10%) of transiently idle nodes on supercomputers. Recognizing that such unfilled nodes are well-suited for deep n…
Rapid detection of rare events from in situ X-ray diffraction data using machine learning
Weijian Zheng, Jun-Sang Park, Peter Kenesei +7
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…
Towards Distributed Quantum Computing by Qubit and Gate Graph Partitioning Techniques
Marc Grau Davis, Joaquin Chung, Dirk Englund +1
Distributed quantum computing is motivated by the difficulty in building large-scale, individual quantum computers. To solve that problem, a large quantum circuit is partitioned an…
Entanglement Distribution in Quantum Repeater with Purification and Optimized Buffer Time
Allen Zang, Xinan Chen, Alexander Kolar +4
Quantum repeater networks that allow long-distance entanglement distribution will be the backbone of distributed quantum information processing. In this paper we explore entangleme…
Simulation of Entanglement Generation between Absorptive Quantum Memories
Allen Zang, Alexander Kolar, Joaquin Chung +3
Quantum entanglement is an essential resource for quantum networks. However, the generation of entanglement between physical devices at remote network nodes is a challenging task t…
Adaptive, Continuous Entanglement Generation for Quantum Networks
Alexander Kolar, Allen Zang, Joaquin Chung +2
Quantum networks, which enable the transfer of quantum information across long distances, promise to provide exciting benefits and new possibilities in many areas including communi…
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study
Zhengchun Liu, Rajkumar Kettimuthu, Ian Foster
Computed Tomography (CT) is an imaging technique where information about an object are collected at different angles (called projections or scans). Then the cross-sectional image s…
Picosecond Synchronization of Photon Pairs through a Fiber Link between Fermilab and Argonne National Laboratories
Keshav Kapoor, Si Xie, Joaquin Chung +20
We demonstrate a three-node quantum network for C-band photon pairs using 2 pairs of 59 km of deployed fiber between Fermi and Argonne National Laboratories. The C-band pairs are d…
Design and Implementation of the Illinois Express Quantum Metropolitan Area Network
Joaquin Chung, Ely M. Eastman, Gregory S. Kanter +12
The Illinois Express Quantum Network (IEQNET) is a program to realize metropolitan scale quantum networking over deployed optical fiber using currently available technology. IEQNET…
La Résistance: Harnessing Heterogeneous Resources for Adaptive Resiliency in 6G Networks
Ganesh C. Sankaran, Joaquin Chung, Raj Kettimuthu
Recent years have seen more critical applications designed to protect human lives (e.g., environmental sensing, emergency response, and tactical defense) being deployed over wirele…
fairDMS: Rapid Model Training by Data and Model Reuse
Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu +7
Extracting actionable information rapidly from data produced by instruments such as the Linac Coherent Light Source (LCLS-II) and Advanced Photon Source Upgrade (APS-U) is becoming…
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…
SeQUeNCe: A Customizable Discrete-Event Simulator of Quantum Networks
Xiaoliang Wu, Alexander Kolar, Joaquin Chung +4
Recent advances in quantum information science enabled the development of quantum communication network prototypes and created an opportunity to study full-stack quantum network ar…
Petascale XCT: 3D Image Reconstruction with Hierarchical Communications on Multi-GPU Nodes
Mert Hidayetoglu, Tekin Bicer, Simon Garcia de Gonzalo +6
X-ray computed tomography is a commonly used technique for noninvasive imaging at synchrotron facilities. Iterative tomographic reconstruction algorithms are often preferred for re…
Design and Evaluation of a Simple Data Interface for Efficient Data Transfer Across Diverse Storage
Zhengchun Liu, Rajkumar Kettimuthu, Joaquin Chung +3
Modern science and engineering computing environments often feature storage systems of different types, from parallel file systems in high-performance computing centers to object s…