SPERR is a versatile lossy compressor for structured scientific data; it is built on top of an advanced wavelet compression algorithm, SPECK, and provides ...
SPERR is a versatile lossy compressor for structured scientific data; it is built on top of an advanced wavelet compression algorithm,. SPECK, and provides ...
SPERR (pronounced like spur) is a lossy compressor for scientific data (2D or 3D floating-point data, mostly produced by numerical simulations).
Evaluation shows that in most settings SPERR achieves the best rate-distortion trade-off among current popular lossy scientific data compressors.
SPERR is a versatile lossy compressor for structured scientific data; it is built on top of an advanced wavelet compression algorithm, SPECK.
SPERR: wavelet-based, yet supports PWE-bounded compression. ○ SPERR achieves the best compression efficiency among available scientific data compressors. ○ It ...
Jan 10, 2024 · This paper introduces an algorithm that encodes outliers—data points exceeding a specified point-wise error tolerance—produced by a lossy ...
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In this paper, we present the evolution of lossy compression for scientific data from 2015, describing the situation before the JLESC started.
Apr 3, 2024 · In this paper we provide a comprehensive survey of emerging error-bounded lossy compression techniques for different use cases each involving big data to ...
This tutorial reviews the motivations, principles, techniques and error analysis methods for lossy compression of scientific datasets. It details the main ...