In this slidecast, Torsten Hoefler from ETH Zurich presents: Data-Centric Parallel Programming. “To maintain performance portability in the future, it is imperative to decouple architecture-specific programming paradigms from the underlying scientific computations. We present the Stateful DataFlow multiGraph (SDFG), a data-centric intermediate representation that enables separating code definition from its optimization.”
Call for Papers: International Workshop on High-Performance Big Data Computing (HPBDC)
January 2, 2017 by
The 3rd annual International Workshop on High-Performance Big Data Computing (HPBDC) has issued its Call for Papers. Featuring a keynote by Prof. Satoshi Matsuoka from Tokyo Institute of Technology, the event takes place May 29, 2017 in Orlando, FL.
