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Title: Storage Systems and Input/Output: Organizing, Storing, and Accessing Data for Scientific Discovery. Report for the DOE ASCR Workshop on Storage Systems and I/O. [Full Workshop Report]

Technical Report ·
DOI:https://doi.org/10.2172/1491994· OSTI ID:1491994
 [1];  [2];  [1];  [3];  [4];  [5];  [5];  [6];  [3];  [4]
  1. Argonne National Lab. (ANL), Argonne, IL (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  4. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  5. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  6. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
+ Show Author Affiliations

In September, 2018, the Department of Energy, Office of Science, Advanced Scientific Computing Research Program convened a workshop to identify key challenges and define research directions that will advance the field of storage systems and I/O over the next 5–7 years. The workshop concluded that addressing these combined challenges and opportunities requires tools and techniques that greatly extend traditional approaches and require new research directions. Key research opportunities were identified.

Research Organization:
USDOE Office of Science (SC) (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
OSTI ID:
1491994
Resource Relation:
Conference: Storage Systems and I/O: Organizing, Storing, and Accessing Data for Scientific Discovery, Gaithersburg, MD, 19-20 Sep 2018
Country of Publication:
United States
Language:
English

References (5)

Reducing I/O variability using dynamic I/O path characterization in petascale storage systems journal November 2016
The design and realisation of the $^{my}$Experiment Virtual Research Environment for social sharing of workflows journal May 2009
Simulating parallel programs on application and system level journal May 2012
Examining extended and scientific metadata for scalable index designs
  • Parker-Wood, Aleatha; Long, Darrell D. E.; Madden, Brian A.
  • Proceedings of the 6th International Systems and Storage Conference on - SYSTOR '13, Article No. 4 https://doi.org/10.1145/2485732.2485754
conference January 2013
Active disks for large-scale data processing journal June 2001

Linked Research (1)

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