PoKiTT: Exposing Task and Data Parallelism on Heterogeneous Architectures for Detailed Chemical Kinetics, Transport, and Thermodynamics Calculations

DOI10.1137/15M1026237zbMath1382.80001MaRDI QIDQ2830615

Nathan Yonkee, James C. Sutherland

Publication date: 28 October 2016

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

zbMATH Keywords

parallel computingGPUtask parallelismdata parallelismCPUchemical reactions modellingthermodynamics modelling

Mathematics Subject Classification ID

Parallel algorithms in computer science (68W10) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20) Parallel numerical computation (65Y05) Chemically reacting flows (80A32) Complexity and performance of numerical algorithms (65Y20) Numerical algorithms for specific classes of architectures (65Y10) Software, source code, etc. for problems pertaining to classical thermodynamics (80-04)

Uses Software

• CUDA
• CHEMKIN
• GRI-Mech 3.0
• Cantera
• PoKiTT
• CU++
• Nebo

Cites Work

• Unnamed Item
• Accelerating moderately stiff chemical kinetics in reactive-flow simulations using GPUs
• Graph-Based Software Design for Managing Complexity and Enabling Concurrency in Multiphysics PDE Software

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