Alexander Heinecke

Alexander Heinecke

Machine Learning Research Scientist, Parallel Computing Lab

Alexander’s core research field is the use and co-design of multi- and many-core architectures in emerging scientific computing applications, such as high-order methods for solving partial differential equations or hierarchical discretizations/solvers of high-dimensional problems and for machine/deep learning applications. Alexander was awarded the Intel Doctoral Student Honor Programme Award in 2012. In 2013 and 2014, he and his co-authors received the PRACE ISC Award for achieving peta-scale performance in the fields of molecular dynamics and seismic hazard modeling on more than 140,000 cores. In 2014, he and his co-authors were additionally selected as Gordon Bell finalists for running multi-physics earthquake simulations at multi-petaflop performance on more than 1.5 millions of cores.

Expertise:

  • AI and Society
  • Architecture
  • Parallel Computing