3 citations · 3 across the 1 of their papers we have counts for
3 papers
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data
Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram +2
With the increasing computational power of current supercomputers, the size of data produced by scientific simulations is rapidly growing. To reduce the storage footprint and facil…
Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations
Qun Liu, Subhashis Hazarika, John M. Patchett +2
Data modeling and reduction for in situ is important. Feature-driven methods for in situ data analysis and reduction are a priority for future exascale machines as there are curren…
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation
Subhashis Hazarika, Haoyu Li, Ko-Chih Wang +2
Complex computational models are often designed to simulate real-world physical phenomena in many scientific disciplines. However, these simulation models tend to be computationall…