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Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI
Michael E. Papka November 12, 2023 - November 17, 2023 In the realm of Computational Fluid Dynamics (CFD), the demand for memory and computation resources is extreme, necessitating the use of… Read more |
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ChemoGraph: Interactive Visual Exploration of the Chemical Space
Michael E. Papka June 12, 2023 - June 16, 2023 Honorable Mention in the EuroVis Best Paper Category Exploratory analysis of the chemical space is an important task in the field of cheminformatics… Read more |
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The State of the Art in Visualizing Dynamic Multivariate Networks
Michael E. Papka June 12, 2023 - June 16, 2023 Most real-world networks are both dynamic and multivariate in nature, meaning that the network is associated with various attributes and both the… Read more |
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Visual Analysis and Detection of Contrails in Aircraft Engine Simulations
Carla Floricel, G. Elisabeta Marai, Md Nafiul Alam Nipu January 1, 2023 Contrails are condensation trails generated from emitted particles by aircraft engines, which perturb Earth’s radiation budget. Simulation modeling… Read more |
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DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing
Michael E. Papka December 1, 2022 Cluster schedulers are crucial in high-performance computing (HPC). They determine when and which user jobs should be allocated to available system… Read more |
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Visual Analysis and Detection of Contrails in Aircraft Engine Simulations
Carla Floricel, G. Elisabeta Marai, Md Nafiul Alam Nipu October 16, 2022 - October 21, 2022 Contrails are condensation trails generated from emitted particles by aircraft engines, which perturb Earth’s radiation budget. Simulation… Read more |
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Linking scientific instruments and computation: Patterns, technologies, and experiences
Michael E. Papka October 14, 2022 Powerful detectors at modern experimental facilities routinely collect data at multiple GB/s. Online analysis methods are needed to enable the… Read more |
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Moving from Composable to Programmable
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Zhongyi Chen June 3, 2022 In today’s Big Data era, data scientists require modern workflows to quickly analyze large-scale datasets using complex codes to maintain the… Read more |
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Composable Infrastructures for an Academic Research Environment: Lessons Learned
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Zhongyi Chen June 3, 2022 Composable infrastructure holds the promise of accelerating the pace of academic research and discovery by enabling researchers to tailor the… Read more |
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Monitoring COMPaaS
April 29, 2022 The Electronic Visualization Laboratory at the University of Illinois Chicago acquired a 24 compute node, 64 GPU composable infrastructure compute… Read more |
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Moving from Composable to Programmable
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Zhongyi Chen April 15, 2022 In today’s Big Data era, data scientists require modern workflows to quickly analyze large-scale datasets using complex codes to maintain the… Read more |
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Composable Infrastructures for an Academic Research Environment: Lessons Learned
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Timothy Bargo April 15, 2022 Composable infrastructure holds the promise of accelerating the pace of academic research and discovery by enabling researchers to tailor the… Read more |
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A Distributed Graph Approach for Pre-processing Linked RDF Data Using Supercomputers
Andrew Johnson, Michael Lewis May 18, 2017 Efficient RDF, graph-based queries are becoming more pertinent based on the increased interest in data analytics and its intersection with large… Read more |
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Improving Sparse Data Movement Performance Using Multiple Paths on the Blue Gene/Q Supercomputer
Andrew Johnson, Huy A. Bui January 1, 2016 In situ analysis has been proposed as a promising solution to glean faster insights and reduce the amount of data to storage. A critical challenge… Read more |
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Improving Communication Throughput by Multipath Load Balancing on Blue Gene/Q
Andrew Johnson, Huy A. Bui December 16, 2015 - December 19, 2015 Achievable networking performance of applications in a supercomputer depends on the exact combination of the communication patterns of the… Read more |
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Multipath Load Balancing for M x N Communication Patterns on the Blue Gene⁄Q Supercomputer Interconnection Network
Andrew Johnson, Huy A. Bui September 8, 2015 - September 11, 2015 Achievable networking performance of applications in a supercomputer depends on the exact combination of the communication patterns of the… Read more |
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Two-phase IO Enabling Large-scale Performance Introspection (poster)
Ke Fan, Sidharth Kumar November 12, 1970 - November 17, 1970 Numerous sophisticated profiling and visualization tools have been developed to enable programmers to expose semantic information from their… Read more |
