Search Results for author: Jong Choi

Found 3 papers, 2 papers with code

Scalable Hybrid Learning Techniques for Scientific Data Compression

1 code implementation • 21 Dec 2022 • Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka

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.

Data Compression Video Compression

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Neural data compression for physics plasma simulation

no code implementations • ICLR Workshop Neural_Compression 2021 • Jong Choi, Michael Churchill, Qian Gong, Seung-Hoe Ku, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka, Dave Pugmire, CS Chang, Scott Klasky

We present a VAE-based data compression method, called VAe Physics Optimized Reduction (VAPOR), to compress scientific data while preserving physics constraints.

Data Compression

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ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management

1 code implementation • SoftwareX 2020 • William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip Davis, Jong Choi, Kai Germaschewski, Kevin Huck, Axel Huebl, Mark Kim, James Kress, Tahsin Kurc, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky

We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System.

Management

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