- ACM-IEEE CS George Michael Memorial HPC Fellowships (2016)
- ACM Gordon Bell Prize (2015)
- 2016 ACM/IEEE George Michael Memorial HPC Fellowships
- Trailblazing Approach to Modeling Earth’s Geological Processes Wins Gordon Bell Prize Team Employs a Number of New Advances to Make Extreme Scalability Possible
USA - 2016
For his project, "Extreme-Scale Solver for Earth's Mantle Convection: A Spectral-Geometric-Algebraic Multigrid Based Implicit Solver for Nonlinear, Heterogeneous Stokes Flow with Scalability to 1.6M Cores"Press Release
USA - 2015
An Extreme-Scale Implicit Solver for Complex PDEs: Highly Heterogeneous Flow in Earth's Mantle.
2016 ACM/IEEE George Michael Memorial HPC Fellowships
Johann Rudi of The Institute for Computational Engineering and Sciences (The University of Texas at Austin) and Axel Huebl of Helmholtz-Zentrum Dresden-Rossendorf (Technical University of Dresden) are the recipients of the 2016 ACM/IEEE George Michael Memorial HPC Fellowships. Rudi is recognized for his work on a recent project, “Extreme-Scale Implicit Solver for Nonlinear, Multiscale, and Heterogeneous Stokes Flow in the Earth’s Mantle,” while Huebl is recognized for his work, “Scalable, Many-core Particle-in-cell Algorithms to Simulate Next Generation Particle Accelerators and Corresponding Large-scale Data Analytics.”
Johann Rudi’s recent research has focused on modeling, analysis and development of algorithms for studying the earth’s mantle convection by means of large-scale simulations on high-performance computers. Mantle convection is the fundamental physical process within the earth’s interior responsible for the thermal and geological evolution of the planet, including plate tectonics.
Rudi, along with colleagues from Switzerland and the United States, presented a paper on mantle convection at SC15, the International Conference for High Performance Computing, that was awarded the ACM Gordon Bell Prize. Rudi and his team developed new computational methods that are capable of processing difficult problems based on partial differential equations, such as mantle convection, with optimal algorithmic performance at extreme scales.
Axel Huebl is a computational physicist who specializes in next-generation, laser plasma-based particle accelerators. Huebl and others reinvented the particle-in-cell algorithm to simulate plasma-physics with 3D simulations of unprecedented detail on leadership-scale many-core supercomputers such as Titan (ORNL).
Through this line of research, Huebl also derives models to understand and predict promising regimes for applications such as radiation therapy of cancer with laser-driven ion beams. Interacting closely with experimental scientists, their simulations are showing that plasma-based particle accelerators may yield numerous scientific advances in industrial and medical applications. Huebl was part of a team that were Gordon-Bell prize finalists at SC13.
Trailblazing Approach to Modeling Earth’s Geological Processes Wins Gordon Bell Prize Team Employs a Number of New Advances to Make Extreme Scalability Possible
Austin, Texas, November 20, 2015 – A 10-member team led by Johann Rudi of the University of Texas at Austin are the recipients of the 2015 ACM Gordon Bell Prize for their entry entitled An Extreme-Scale Implicit Solver for Complex PDEs: Highly Heterogeneous Flow in Earth's Mantle. The winning team includes representatives from the University of Texas at Austin, IBM Corporation, California Institute of Technology and the Courant Institute of Mathematical Sciences at New York University. The ACM Gordon Bell Prize tracks the progress of parallel computing and rewards innovation in applying high performance computing to challenges in science, engineering, and large-scale data analytics. The award was bestowed during SC15 (sc15.supercomputing.org) in Austin, Texas.
The team presented a solver which can process difficult partial differential equations (PDEs) at an extreme scale to predict activity in the earth's mantle and that scales up to half a million cores. By effectively modeling these processes, scientists can better understand the dynamics that produce earthquakes and related natural disasters. Mantle convection is just one application in the physical sciences wherein processing difficult PDEs at an extreme scale would be useful.
Team members include Costas Bekas (IBM), Alessandro Curioni (IBM), Omar Ghattas (University of Texas at Austin), Michael Gurnis (California Institute of Technology), Yves Ineichen (IBM), Tobin Isaac (University of Texas at Austin), Cristiano Malossi (IBM), Johann Rudi (University of Texas at Austin), Georg Stadler (Courant Institute of Mathematical Sciences), and Peter W.J. Staar (IBM).
Innovations from advanced scientific computing have far-reaching impact in many areas of science and society, from accurately predicting storms and other weather phenomena, to economic forecasts and developing new pharmaceuticals. The annual SC conference brings together scientists, engineers and researchers from around the world for an outstanding week of technical papers, timely research posters, tutorials and Birds-of-a-Feather (BOF) sessions.