18 citations · 38 across the 7 of their papers we have counts for
7 papers
Scalable Hybrid Learning Techniques for Scientific Data Compression
Tania Banerjee, Jong Choi, Jaemoon Lee +5
Data compression is becoming critical for storing scientific data because many scientific applications need to store large amounts of data and post process this data for scientific…
Near real-time streaming analysis of big fusion data
Ralph Kube, R. Michael Churchill, CS Chang +6
While experiments on fusion plasmas produce high-dimensional data time series with ever increasing magnitude and velocity, data analysis has been lagging behind this development. F…
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs
Jieyang Chen, Lipeng Wan, Xin Liang +10
Rapid growth in scientific data and a widening gap between computational speed and I/O bandwidth makes it increasingly infeasible to store and share all data produced by scientific…
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool
Sungsoo Ha, Wonyong Jeong, Gyorgy Matyasfalvi +11
Because of the limits input/output systems currently impose on high-performance computing systems, a new generation of workflows that include online data reduction and analysis is…
A tight-coupling scheme sharing minimum information across a spatial interface between gyrokinetic turbulence codes
Julien Dominski, Seung-Hoe Ku, Choong-Seock Chang +5
A new scheme that tightly couples kinetic turbulence codes across a spatial interface is introduced. This scheme evolves from considerations of competing strategies and down-select…
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective
Axel Huebl, Rene Widera, Felix Schmitt +5
We implement and benchmark parallel I/O methods for the fully-manycore driven particle-in-cell code PIConGPU. Identifying throughput and overall I/O size as a major challenge for a…
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…