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Spiner: Performance Portable Routines for Generic, Tabulated, Multi-Dimensional Data

Journal Article · · Journal of Open Source Software
DOI:https://doi.org/10.21105/joss.04367· OSTI ID:2342059
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  1. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
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We present Spiner, a new, performance-portable library for working with tabulated data. Spiner provides efficient routines for multi-dimensional interpolation and indexing on both CPUs and GPUs—as well as more exotic hardware—including interwoven interpolation and indexing access patterns, as needed for radiation transport. Importantly, Spiner defines a data format, based on HDF5, that couples the tabulated data to the information required to interpolate it, which Spiner can read and move to GPU.
Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
89233218CNA000001
OSTI ID:
2342059
Report Number(s):
LA-UR--22-22502
Journal Information:
Journal of Open Source Software, Journal Name: Journal of Open Source Software Journal Issue: 75 Vol. 7; ISSN 2475-9066
Publisher:
Open Source Initiative - NumFOCUSCopyright Statement
Country of Publication:
United States
Language:
English

References (5)

A new open-source code for spherically symmetric stellar collapse to neutron stars and black holes journal May 2010
Kokkos 3: Programming Model Extensions for the Exascale Era journal January 2021
The Sensitivity of Core-Collapse Supernovae to Nuclear Electron Capture journal December 2015
Fornax: A Flexible Code for Multiphysics Astrophysical Simulations journal February 2019
ν bhlight : Radiation GRMHD for Neutrino-driven Accretion Flows journal April 2019

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Related Subjects

97 MATHEMATICS AND COMPUTING
C++
GPUs
interpolation
numerical methods
performance portability
tabulated data