Published 2017
| Version v1
Journal article
Landau Collision Integral Solver with Adaptive Mesh Refinement on Emerging Architectures
Creators
- 1. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). Scalable Solvers Group
- 2. Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States)
- 3. Rice University, Houston, TX (United States). Computational and Applied Mathematics
- 4. University of Colorado, Boulder, CO (United States). Dept. of Computer Science
- 5. Intel Corp., Santa Clara, CA (United States)
Description
The Landau collision integral is an accurate model for the small-angle dominated Coulomb collisions in fusion plasmas. Here, 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 (ulwww.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.
Availability note (English)
Available from https://www.osti.gov/servlets/purl/1465410; https://www.osti.gov/biblio/1465410; DOE Accepted Manuscript full text, or the publishers Best Available Version will be available free of charge after the embargo periodAdditional details
Identifiers
Publishing Information
- Journal Title
- SIAM Journal on Scientific Computing
- Journal Volume
- 39
- Journal Issue
- 6
- Journal Page Range
- vp.
- ISSN
- 1064-8275
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 51045556
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- COLLISION INTEGRALS; COLLISIONAL PLASMA; COMPUTER ARCHITECTURE; FINITE ELEMENT METHOD; NONLINEAR PROBLEMS; VECTOR PROCESSING
- Descriptors DEC
- CALCULATION METHODS; INTEGRALS; MATHEMATICAL SOLUTIONS; NUMERICAL SOLUTION; PLASMA; PROGRAMMING
Optional Information
- Contract/Grant/Project number
- AC02-05CH11231; AC02-09CH11466; AC02-06CH11357
- Funding organization
- USDOE Office of Science - SC, Advanced Scientific Computing Research (ASCR) (SC-21) (United States)
- Secondary number(s)
- OSTIID--1465410