cuSZ:CUDA-based Error-Bounded Lossy Compressor for Scientific Data Scientific Data
cuSZ is a CUDA implementation of the world-widely used SZ lossy compressor. It is the first error-bounded lossy compressor on GPUs for scientific data, which significantly improves SZ's throughput in GPU-based heterogeneous HPC systems.
- Software Type:
- Scientific
- License(s):
- BSD 3-clause "New" or "Revised" License
- Research Organization:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Organization:
- ECP VELOC/SZPrimary Award/Contract Number:AC02-06CH11357
- DOE Contract Number:
- AC02-06CH11357
- Code ID:
- 62650
- OSTI ID:
- code-62650
- Country of Origin:
- United States
Similar Records
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs
Ultrafast Error-bounded Lossy Compression for Scientific Datasets
Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data
Conference
·
Thu Dec 31 23:00:00 EST 2020
·
OSTI ID:1864152
Ultrafast Error-bounded Lossy Compression for Scientific Datasets
Conference
·
Fri Dec 31 23:00:00 EST 2021
·
OSTI ID:1903841
Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data
Journal Article
·
Sun Feb 09 23:00:00 EST 2020
· IEEE Transactions on Parallel and Distributed Systems
·
OSTI ID:1603491