MILC code performance on high end CPU and GPU supercomputer clusters

Jun 27, 2017, 5:30 PM
30m
Talk

Speaker

Ruizi Li

Description

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.

Title MILC code performance on high end CPU and GPU supercomputer clusters

Primary authors

Ruizi Li Prof. Carleton DeTar (University of Utah) Prof. Steven Gottlieb (Indiana University) Prof. Doug Toussaint (University of Arizona)

Presentation materials