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By Iryna Andriyanova (ETIS Lab, ENSEA/University of Cergy-Pontoise/CNRS) Abstract: This talk will present some constructions ... Want to store data more efficiently without losing redundancy? Stop relying on full replication— The 2nd International Conference on Computing and Data Science Title: Motivation and an informal definition of regenerating Parikshit Gopalan, Microsoft Research Information Theory Boot Camp ... This discussion is technical, but does not require any specific technical background and has generality beyond just the HPE ...

FAST '21 - Exploiting Combined Locality for Wide-Stripe Cheng Huang, Huseyin Simitci, Yikang Xu, Aaron Ogus, Brad Calder, Parikshit Gopalan, Jin Li, and Sergey Yekhanin, Microsoft ... Data center operators are looking for new ways to ensure data is never lost while also keeping costs down. In this video, we ... Yao Zhu, Purdue University Computer Science department PUNLAG is a student-led seminar in numerical linear algebra at ...

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Iteratively-Decoded Erasure-Correcting Coding for Distributed Storage
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Iteratively-Decoded Erasure-Correcting Coding for Distributed Storage

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By Iryna Andriyanova (ETIS Lab, ENSEA/University of Cergy-Pontoise/CNRS) Abstract: This talk will present some constructions ...

Erasure Coding in Action: How Big Tech Saves Petabytes of Data
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Erasure Coding in Action: How Big Tech Saves Petabytes of Data

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Want to store data more efficiently without losing redundancy? Stop relying on full replication—

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Last Updated: May 23, 2026

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