Speaker
Philippe Canal
(Fermi National Accelerator Lab. (US))
Description
The recent prevalence of hardware architectures of many-core or accelerated
processors opens opportunities for concurrent programming models taking
advantages of both SIMD and SIMT architectures. The Geant Vector Prototype
has been designed both to exploit the vector capability of main stream
CPUs and to take advantage of Coprocessors including NVidia’s GPU and Intel
Xeon Phi. The characteristics of each of those architectures are very
different in term of the vectorization depth, parallelization needed to achieve
optimal performance or memory access latency and speed. Between each
platforms the number of individual tasks to be processed ‘at once’ for
efficient use of the hardware varies sometimes by an order of magnitude.
The granularity of the code executed may also need to be dynamically adjusted.
An additional challenge is to avoid the code duplication often inherent to
supporting heterogeneous platforms. We will present the challenges, solutions
and resulting performance of running an end to end detector simulation
concurrently on a main stream CPU and a coprocessor and detail the broker
implementation bridging the disparity between the two architectures. The
impacts of task decomposition, vectorization, efficient sampling techniques
and data look-up using track level parallelism will be also evaluated on
vector and massively parallel architectures.
Authors
Philippe Canal
(Fermi National Accelerator Lab. (US))
Soon Yung Jun
(Fermi National Accelerator Lab. (US))
Co-authors
Andrei Gheata
(CERN)
Mr
Federico Carminati
(CERN)
Georgios Bitzes
(National and Kapodistrian University of Athens (GR))
Guilherme Lima
(FermiLab (US))
Johannes Christof de Fine Licht
(University of Copenhagen (DK))
John Apostolakis
(CERN)
Laurent Duhem
Marilena Bandieramonte
(Universita e INFN (IT))
Mihaly Novak
(CERN)
Oksana Shadura
(National Technical Univ. of Ukraine "Kyiv Polytechnic Institute)
Raman Sehgal
(Bhabha Atomic Research Centre (IN))
Dr
Rene Brun
(CERN)
Sandro Christian Wenzel
(CERN)
Victor Daniel Elvira
(Fermi National Accelerator Lab. (US))
