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  1. Proceedings of the 1st Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISCS '16)
  2. Get out of the way!: applying compression to internal data structures
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Scientific workflows at datawarp-speed: accelerated data-intensive science using NERSC's burst buffer
Parallel I/O characterisation based on server-side performance counters
Replicating HPC I/O workloads with proxy applications
Can non-volatile memory benefit mapreduce applications on HPC clusters?
Fatman vs. littleboy: scaling up linear algebraic operations in scale-out data platforms
Klimatic: a virtual data lake for harvesting and distribution of geospatial data
Get out of the way!: applying compression to internal data structures
Towards energy efficient data management in HPC: the open ethernet drive approach
A generic framework for testing parallel file systems
A bloom filter based scalable data integrity check tool for large-scale dataset

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Get out of the way!: applying compression to internal data structures

Content Provider ACM Digital Library
Author Ross, Rob Latham, Rob Dorier, Matthieu
Abstract As the amount of memory per core decreases in post-petascale machines, the memory footprint of any libraries and middleware used by HPC applications must be reduced. While scientific data can contain a great deal of entropy and require specialized compression techniques, the descriptions of scientific data layouts, as opposed to contents, turn out to be highly compressible. In this paper we present two approaches to compressing scientific data layout descriptions. We also describe two data structures for managing the compressed data. We incorporated our approach into the ROMIO MPI-IO implementation to reduce the memory consumption, observing an 89x reduction in memory overhead with a 25% increase in CPU overhead.
Starting Page 37
Ending Page 42
Page Count 6
ISBN 9781509052165
DOI 10.1109/PDSW-DISCS.2016.10
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-11-13
Access Restriction Subscribed
Content Type Text
Resource Type Article
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