Paper
:
Code Generation for Massively Parallel Phase-Field Simulations
Event Type
Paper
Registration Categories
TP
Tags
Applications
Cancer
Compiler Analysis and Optimization
Compilers
Computational Biology
Exascale
Fault Tolerance
Heterogeneous Systems
Machine Learning
Parallel Application Frameworks
Portability
Reliability
Resiliency
Runtime Systems
Scalable Computing
Scientific Computing
Scientific Workflows
Simulation
Tools
Workflows
TimeWednesday, 20 November 20194:30pm - 5pm
DescriptionThis article describes the development of automatic program generation technology to create scalable phase-field methods for material science applications. To simulate the formation of microstructures in metal alloys, we employ an advanced, thermodynamically consistent phase-field method. A state-of-the-art large-scale implementation of this model requires extensive, time-consuming, manual code optimization to achieve unprecedented fine mesh resolution. Our new approach starts with an abstract description based on free-energy functionals which is formally transformed into a continuous PDE and discretized automatically to obtain a stencil-based time-stepping scheme. Subsequently, an automatized performance engineering process generates highly optimized, performance-portable code for CPUs and GPUs. We demonstrate the efficiency for real-world simulations on large-scale GPU-based (PizDaint) and CPU-based (SuperMUC-NG) supercomputers. Our technique simplifies program development and optimization for a wide class of models. We further outperform existing, manually optimized implementations as our code can be generated specifically for each phase-field model and hardware configuration.
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