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Preparing sparse solvers for exascale computing.
Sparse solvers provide essential functionality for a wide variety of scientific applications. Highly parallel sparse solvers are essential for continuing advances in high-fidelity, multi-physics and multi-scale simulations, especially as we target exascale platforms. This paper describes the challenges, strategies and progress of the US Department of Energy Exascale Computing project towards providing sparse solvers for exascale computing platforms. We address the demands of systems with thousands of high-performance node devices where exposing concurrency, hiding latency and creating alternative algorithms become essential. The efforts described here are works in progress, highlighting current success and upcoming challenges. This article is part of a discussion meeting issue 'Numerical algorithms for high-performance computational science'
Final-state QED Multipole Radiation in Antenna Parton Showers
We present a formalism for a fully coherent QED parton shower. The complete
multipole structure of photonic radiation is incorporated in a single branching
kernel. The regular on-shell 2 to 3 kinematic picture is kept intact by
dividing the radiative phase space into sectors, allowing for a definition of
the ordering variable that is similar to QCD antenna showers. A modified
version of the Sudakov veto algorithm is discussed that increases performance
at the cost of the introduction of weighted events. Due to the absence of a
soft singularity, the formalism for photon splitting is very similar to the QCD
analogon of gluon splitting. However, since no color structure is available to
guide the selection of a spectator, a weighted selection procedure from all
available spectators is introduced.Comment: 33 pages, 12 figures. Added subsection 4.3 and some comments and
references per reviewer request. Version accepted by JHE
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