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Title: CISM 2.0.0 Benchmark dataset for LIVVKit 2.0.0

This provides a benchmark dataset from the regression test suite in CISM meant to be used for comparison with LIVVkit 2.0.0.
Authors:
Publication Date:
DOE Contract Number:
AC05-00OR22725
Product Type:
Dataset
Research Org(s):
Oak Ridge Leadership Computing Facility; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Subject:
97 MATHEMATICS AND COMPUTING; CISM, LIVVkit, regression tests, benchmark
OSTI Identifier:
1336638

Kennedy, Joseph H. CISM 2.0.0 Benchmark dataset for LIVVKit 2.0.0. United States: N. p., Web. doi:10.13139/OLCF/1336638.
Kennedy, Joseph H. CISM 2.0.0 Benchmark dataset for LIVVKit 2.0.0. United States. doi:10.13139/OLCF/1336638.
Kennedy, Joseph H. 2016. "CISM 2.0.0 Benchmark dataset for LIVVKit 2.0.0". United States. doi:10.13139/OLCF/1336638. https://www.osti.gov/servlets/purl/1336638.
@misc{osti_1336638,
title = {CISM 2.0.0 Benchmark dataset for LIVVKit 2.0.0},
author = {Kennedy, Joseph H.},
abstractNote = {This provides a benchmark dataset from the regression test suite in CISM meant to be used for comparison with LIVVkit 2.0.0.},
doi = {10.13139/OLCF/1336638},
year = {2016},
month = {1} }
  1. The Oak Ridge Leadership Computing Facility (OLCF) was established at Oak Ridge National Laboratory in 2004 with the mission of accelerating scientific discovery and engineering progress by providing outstanding computing and data management resources to high-priority research and development projects. OLCF unveiled Titan in 2013, which is capable of 27 petaflops. Titan is one of the first hybrid architecture systems—a combination of graphics processing units (GPUs), and the more conventional central processing units (CPUs) that have served as number crunchers in computers for decades. The OLCF gives the world’s most advanced computational researchers an opportunity to tackle problems that wouldmore » be unthinkable on other systems. The DOI Portal can be found at https://doi.ccs.ornl.gov/. « less
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