SZ3: A modular framework for composing prediction-based error-bounded lossy compressors
Today's scientific simulations require a significant reduction of data volume because of
extremely large amounts of data they produce and the limited I/O bandwidth and storage …
extremely large amounts of data they produce and the limited I/O bandwidth and storage …
Significantly improving lossy compression for HPC datasets with second-order prediction and parameter optimization
Today's extreme-scale high-performance computing (HPC) applications are producing
volumes of data too large to save or transfer because of limited storage space and I/O …
volumes of data too large to save or transfer because of limited storage space and I/O …
Dynamic quality metric oriented error bounded lossy compression for scientific datasets
With ever-increasing execution scale of the high performance computing (HPC)
applications, vast amount of data are being produced by scientific research every day. Error …
applications, vast amount of data are being produced by scientific research every day. Error …
cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance
Modern scientific applications and supercomputing systems are generating large amounts of
data in various fields, leading to critical challenges in data storage footprints and …
data in various fields, leading to critical challenges in data storage footprints and …
Ultrafast error-bounded lossy compression for scientific datasets
Today's scientific high-performance computing applications and advanced instruments are
producing vast volumes of data across a wide range of domains, which impose a serious …
producing vast volumes of data across a wide range of domains, which impose a serious …
Improved near-lossless technique using the Huffman coding for enhancing the quality of image compression
M Otair, L Abualigah, MK Qawaqzeh - Multimedia Tools and Applications, 2022 - Springer
Digital data compression aims to reduce the size of digital files in line with technological
development. However, most data is distinguished by its large size, which requires a large …
development. However, most data is distinguished by its large size, which requires a large …
Toward quantity-of-interest preserving lossy compression for scientific data
Today's scientific simulations and instruments are producing a large amount of data, leading
to difficulties in storing, transmitting, and analyzing these data. While error-controlled lossy …
to difficulties in storing, transmitting, and analyzing these data. While error-controlled lossy …
Black-box statistical prediction of lossy compression ratios for scientific data
Lossy compressors are increasingly adopted in scientific research, tackling volumes of data
from experiments or parallel numerical simulations and facilitating data storage and …
from experiments or parallel numerical simulations and facilitating data storage and …
Optzconfig: Efficient parallel optimization of lossy compression configuration
Lossless compressors have very low compression ratios that do not meet the needs of
today's large-scale scientific applications that produce vast volumes of data. Error-bounded …
today's large-scale scientific applications that produce vast volumes of data. Error-bounded …
Toward feature-preserving vector field compression
The objective of this work is to develop error-bounded lossy compression methods to
preserve topological features in 2D and 3D vector fields. Specifically, we explore the …
preserve topological features in 2D and 3D vector fields. Specifically, we explore the …