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Title: Damsel: A Data Model Storage Library for Exascale Science

The goal of this project is to enable exascale computational science applications to interact conveniently and efficiently with storage through abstractions that match their data models. We will accomplish this through three major activities: (1) identifying major data model motifs in computational science applications and developing representative benchmarks; (2) developing a data model storage library, called Damsel, that supports these motifs, provides efficient storage data layouts, incorporates optimizations to enable exascale operation, and is tolerant to failures; and (3) productizing Damsel and working with computational scientists to encourage adoption of this library by the scientific community.
Authors:
 [1]
  1. The HDF Group, Champaign, IL (United States)
Publication Date:
OSTI Identifier:
1164523
Report Number(s):
DOE-HDFGROUP--04948
DOE Contract Number:
SC0004948
Resource Type:
Technical Report
Research Org:
The HDF Group, Champaign, IL (United States)
Sponsoring Org:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING I/O middleware; data modeling; storage