Abstract | ||
---|---|---|
Scientific simulations on high-performance computing (HPC) systems generate vast amounts of floating-point data that need to be reduced in order to lower the storage and I/O cost. Lossy compressors trade data accuracy for reduction performance and have been demonstrated to be effective in reducing data volume. However, a key hurdle to wide adoption of lossy compressors is that the trade-off betwee... |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/TPDS.2019.2938503 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | DocType | Volume |
Compressors,Data models,Measurement,Computational modeling,Estimation,Market research,Predictive models | Journal | 31 |
Issue | ISSN | Citations |
7 | 1045-9219 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jinzhen Wang | 1 | 1 | 2.38 |
tong liu | 2 | 39 | 21.53 |
Qing Liu | 3 | 389 | 25.62 |
Xubin He | 4 | 747 | 63.49 |
Huizhang Luo | 5 | 16 | 3.96 |
Weiming He | 6 | 0 | 0.34 |