Open Access
EPJ Web Conf.
Volume 175, 2018
35th International Symposium on Lattice Field Theory (Lattice 2017)
Article Number 02009
Number of page(s) 8
Section 2 Algorithms and Machines
Published online 26 March 2018
  1. J. Jeffers, et. al., Intel Xeon Phi Processor High Performance Programming: Knights Landing Edition, Morgan Kaufmann pp. 581–597 (2016) [CrossRef] [Google Scholar]
  2. S. Gottlieb, et. al., Nucl.Phys.Proc.Suppl. 94, 841 (2001) [CrossRef] [Google Scholar]
  3. R. Babich, et. al., Parallelizing the QUDA Library for Multi-GPU Calculations in Lattice Quantum Chromodynamics, SC’10: Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, 1710.01000 [Google Scholar]
  4. P. Boyle, et. al., Grid: A next generation data parallel C++ QCD library, 1512.03487 [Google Scholar]
  5. Stampede2 - Texas Advanced Computing Center, [Google Scholar]
  6. Theta - Argonne Leadership Computing Facility, [Google Scholar]
  7. Cori Intel Xeon Phi Nodes, [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.