LANDAU COLLISION INTEGRAL SOLVER WITH ADAPTIVE MESH REFINEMENT ON EMERGING ARCHITECTURES

被引：9

作者：

Adams, Mark F. ^{[1
]}

Hirvijoki, Eero ^{[2
]}

Knepley, Matthew G. ^{[3
]}

Brown, Jed ^{[4
]}

Isaac, Tobin ^{[5
]}

Mills, Richard ^{[6
]}

机构：

[1] Lawrence Berkeley Lab, Scalable Solvers Grp, Berkeley, CA 94720 USA

[2] Princeton Plasma Phys Lab, Princeton, NJ 08540 USA

[3] Rice Univ, Computat & Appl Math, Houston, TX 77005 USA

[4] Univ Colorado, Dept Comp Sci, Boulder, CO 80309 USA

[5] Georgia Inst Technol, Sch Computat Sci & Engn, Atlanta, GA 30332 USA

[6] Intel Corp, Santa Clara, CA 95051 USA

来源：

SIAM JOURNAL ON SCIENTIFIC COMPUTING | 2017年 / 39卷 / 06期

关键词：

Landau collision integral; fusion plasma physics; ALGORITHMS; FORESTS;

D O I：

10.1137/17M1118828

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The Landau collision integral is an accurate model for the small-angle dominated Coulomb collisions in fusion plasmas. We investigate a high order accurate, fully conservative, finite element discretization of the nonlinear multispecies Landau integral with adaptive mesh refinement using the PETSc library (www.mcs.anl.gov/petsc). We develop algorithms and techniques to efficiently utilize emerging architectures with an approach that minimizes memory usage and movement and is suitable for vector processing. The Landau collision integral is vectorized with Intel AVX-512 intrinsics and the solver sustains as much as 22% of the theoretical peak flop rate of the Second Generation Intel Xeon Phi ("Knights Landing") processor.

引用

页码：C452 / C465

页数：14

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