High Performance Computing for Instabilities in Aerospace Propulsion Systems
Thierry Poinsot (Institut de Mécanique des Fluides de Toulouse and CERFACS, France)
Combustion produces more than 80 percent of the world's energy. This will continue for a long time as the global energy growth remains much larger than what new renewable energies can provide. Our civilization must allow the growth of combustion sources but, at the same time, keep global warming as well as pollution under control. Science has a key role in this scenario: it must optimize combustion systems far beyond the present state of the art. To do this, one promising path is to use High Performance Computation to compute and optimize combustors before they are built. This talk focuses on aerospace propulsion where optimization often leads to the occurrence of instabilities where combustion couples with acoustics, leading to unacceptable oscillations (the most famous example is the Apollo engine which required 1330 full scale tests to reach acceptable oscillation levels). The talk will show how simulation is used to control these problems, in real gas turbine engines and in rocket engines.
Thierry Poinsot is a research director at IMFT CNRS, head of the CFD group at CERFACS, senior research fellow at Stanford University, and consultant for various companies. His group has contributed a significant body of recent research in the field of LES of turbulent combustion in gas turbines. He teaches numerical methods and combustion in many schools and universities worldwide. He has authored more than 200 papers in refereed journals and 250 communications. He is the author of the textbook "Theoretical and numerical combustion" with Dr D. Veynante and is the editor of "Combustion and Flame". In 2017, he received the Zeldovich Gold medal of the Combustion Institute. He also gave the prestigious Hottel plenary lecture at the last Symposium on Combustion in Seoul (2016).
From the 2018 ACM Gordon Bell Prize, PASC19 will host the presentation on Investigating Epistatic and Pleiotropic Genetic Architectures in Bioenergy and Human Health
Deborah Weighill (Oak Ridge National Laboratory, US)
The new CoMet application consists of implementations of the 2-way and 3-way Proportional Similarity metric and Custom Correlation Coefficient using native or adapted GEMM kernels optimized for GPU architectures, and received the 2018 Gordon Bell Prize. Nearly 300 quadrillion element comparisons per second and over 2.3 mixed precision ExaOps are reached on Summit by use of Tensor Core hardware on the Nvidia Volta GPUs. These similarity metrics form the major parts of largescale Genome-Wide Epistasis Studies (GWES) and pleiotropy studies. These efforts seek to identify genetic variants that contribute to individual phenotypes, including susceptibility (or robustness) to disease. We are using CoMet to investigate the
genetic architectures underlying complex traits in applications from bioenergy to human clinical genomics.
Deborah Weighill is currently completing her PhD at the Bredesen Center for Interdisciplinary Research and Graduate Education, a joint program of the Oak Ridge National Laboratory and the University of Tennessee, Knoxville and expects to graduate in May of 2019. Her computational biology research in Dan Jacobson’s lab focuses on the analysis and integration of large scale ‘omics datasets. She was a member of the team which won the 2018 Gordon Bell Prize.