Feb. 22 — Exascale computing will enable combustion simulations in parameter regimes relevant to next-generation combustion devices burning alternative fuels. High fidelity combustion simulations are needed to provide the underlying science base required to develop vastly more accurate predictive combustion models used ultimately to design fuel efficient, clean burning vehicles, and planes, as well as power plants for electricity generation.
However, making the transition to exascale poses a number of algorithmic, software and technological challenges due to power constraints and the massive concurrency expected at exascale. Addressing issues of data movement, power consumption, memory capacity, interconnection bandwidth, programmability, and scaling through combustion co-design is critical to ensure that future combustion simulations can take advantage of emerging computer architectures in the 2023 timeframe. Co-design refers to a computer system design process where combustion science requirements influence architecture design and constraints inform the formulation and design of algorithms and software.
In the keynote, the current state of petascale turbulent combustion simulation will be reviewed, followed by a discussion of current combustion exascale combustion co-design topics investigated by exascale combustion co-design center, ExaCT: Principle topics include:
1) architectural modeling and simulation of the behavior of combustion applications on future extreme architectures; and
2) programming model and runtime for heterogeneous, hierarchical machines with inherent variability.
While bulk synchronous programming and data parallelism have been operative at the petascale, the movement to exascale requires a shift towards asynchronous programming, where to extract maximum parallelism, both data and task parallelism accessing disjoint sets of fields is required. An example from a recent refactorization of a combustion direct numerical simulation (DNS) code, S3D, using an asynchronous model, Legion, with dynamic runtime analysis at scale will be presented. Further, using Legion, the extensibility of incorporating in situ analytics will be demonstrated.
About Dr. Jacqueline H. Chen
Dr. Jacqueline H. Chen is a Distinguished Member of Technical Staff at the Combustion Research Facility at Sandia National Laboratories. She is also the founding Director of the Center for Exascale Simulation of Combustion in Turbulence (ExaCT), and a member of the Board of Directors of the Combustion Institute. She has contributed broadly to research in petascale direct numerical simulations (DNS) of turbulent combustion focusing on fundamental turbulence-chemistry interactions.
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Source: ISC High Performance