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DTSTART:19700308T020000
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DTSTAMP:20211207T055411Z
LOCATION:230-231-232
DTSTART;TZID=America/Chicago:20211118T133000
DTEND;TZID=America/Chicago:20211118T143000
UID:submissions.supercomputing.org_SC21_sess169@linklings.com
SUMMARY:Data Analytics and Storage Systems
DESCRIPTION:Paper\n\nError-Controlled, Progressive, and Adaptable Retrieva
 l of Scientific Data with Multilevel Decomposition\n\nLiang, Gong, Chen, W
 hitney, Wan...\n\nExtreme-scale simulations and high-resolution instrument
 s are generating an increasing amount of data, which poses significant cha
 llenges to both data storage and retrieval. The challenges in satisfying v
 arious analysis needs while minimizing I/O overhead should never be left u
 nmanaged. In this pape...\n\n---------------------\nLogECMem: Coupling Era
 sure-Coded In-Memory Key-Value Stores with Parity Logging\n\nCheng, Hu, Ke
 , Xu, Yao...\n\nIn-memory key-value stores are often used to speed up Big 
 Data workloads on modern HPC clusters. To maintain their high availability
 , erasure coding has been recently adopted as a low-cost redundancy scheme
  instead of replication. Existing erasure-coded update schemes, however, h
 ave either low perfo...\n\n\nTag: Big Data, Data Analytics, Data Managemen
 t, File Systems and I/O, Memory Systems, Storage\n\nRegistration Category:
  Tech Program Reg Pass
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