Scalable Hybrid Learning Techniques for Scientific Data Compression

Data compression is becoming critical for storing scientific data because many scientific applications need to store large amounts of data and post process this data for scientific discovery. Unlike image and video compression algorithms that limit errors to primary data, scientists require compress...

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Veröffentlicht in:	arXiv.org 2022-12
Hauptverfasser:	Banerjee, Tania, Choi, Jong, Lee, Jaemoon, Gong, Qian, Chen, Jieyang, Klasky, Scott, Rangarajan, Anand, Ranka, Sanjay
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Data compression Errors Floating point arithmetic Image compression Machine learning Nuclear fusion Video compression
Online-Zugang:	Volltext
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