Name
Title | ||
|---|---|---|
High-Quality and Low-Memory-Footprint Progressive Decoding of Large-Scale Particle Data |
Abstract | ||
|---|---|---|
Particle representations are used often in large-scale simulations and observations, frequently creating datasets containing several millions of particles or more. Due to their sheer size, such datasets are difficult to store, transfer, and analyze efficiently. Data compression is a promising solution; however, effective approaches to compress particle data are lacking and no community-standard an... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LDAV53230.2021.00011 | 2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV) |
Keywords | DocType | ISSN |
particle datasets,data compression,coarse approximation,progressive decompression,tree traversal,multiresolution | Conference | 2373-7514 |
ISBN | Citations | PageRank |
978-1-6654-3283-2 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Duong Hoang | 1 | 1 | 1.36 |
| Harsh Bhatia | 2 | 0 | 0.34 |
| Peter Lindstrom | 3 | 0 | 0.34 |
| Valerio Pascucci | 4 | 3241 | 192.33 |