Maxeler Multiscale Dataflow computing is at the leading edge of energy-efficient high performance computing, providing competitive advantage in industries from energy to finance to defense. Maxeler builds the computer around the problem to maximize performance density, eliminating the elaborate caching and decoding machinery occupying most silicon in a standard processor. This talk will explain the motivation behind dataflow computing to escape the end of frequency scaling in the push to exascale machines, introduce the Maxeler dataflow ecosystem including MaxJ code and DFE hardware, and demonstrate the application of dataflow principles to a specific HPC software package (Quantum ESPRESSO).
Brian Boucher holds a B.S. in Mathematics and Chemistry from Jacksonville University and an M.S. in Mathematics from the University of Florida, and is a credentialed Fellow of the Society of Actuaries. Brian left a career in finance last year to join Maxeler as a dataflow architect, where his current projects include real-time risk and high-performance computing for PRACE (the Partnership for Advanced Computing in Europe).