Taming parallel I/O complexity with auto-tuning
Author:
Affiliation:
1. University of Illinois at Urbana-Champaign
2. Rice University
3. Lawrence Berkeley National Laboratory
4. The HDF Group
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2503210.2503278
Reference35 articles.
1. Minerva
2. An Overview of Evolutionary Algorithms for Parameter Optimization
3. A framework for auto-tuning HDF5 applications
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