MILC Code Performance on High End CPU and GPU Supercomputer Clusters

Carleton Detar, Steven Gottlieb, Ruizi Li, Doug Toussaint

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations


With recent developments in parallel supercomputing architecture, many core, multi-core, and GPU processors are now commonplace, resulting in more levels of parallelism, memory hierarchy, and programming complexity. It has been necessary to adapt the MILC code to these new processors starting with NVIDIA GPUs, and more recently, the Intel Xeon Phi processors. We report on our efforts to port and optimize our code for the Intel Knights Landing architecture. We consider performance of the MILC code with MPI and OpenMP, and optimizations with QOPQDP and QPhiX. For the latter approach, we concentrate on the staggered conjugate gradient and gauge force. We also consider performance on recent NVIDIA GPUs using the QUDA library.

Original languageEnglish (US)
Article number02009
JournalEPJ Web of Conferences
StatePublished - Mar 26 2018
Event35th International Symposium on Lattice Field Theory, Lattice 2017 - Granada, Spain
Duration: Jun 18 2017Jun 24 2017

ASJC Scopus subject areas

  • General Physics and Astronomy


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