Fifth Workshop on Programming Abstractions for Data Locality (PADAL'19)

Our PADAL workshop series started in Lugano-Switzerland and first workshop compiled an exploratory report contributed by all 30+ participants to define challenges and open research areas on data locality. The second PADAL workshop, held in Berkeley, CA, published a survey journal on data locality abstractions to IEEE TPDS. We extend our thanks to all contributors to the PADAL articles. The third and forth workshops held in Kobe Japan and Chicago, USA, respectively, expanded the scope of the workshop and now PADAL has become a place to meet and discuss all aspects of data locality.

The goal of this workshop is to focus on extreme heterogeneity while managing data locality on diverse accelerators. Particularly,
  1. Data locality abstractions for all types of accelerators

  2. Locality concerns in non-HPC applications utilizing accelerators

  3. Locality abstractions for emerging and different types of memory technologies

  4. Data locality concerns beyond Moore's Law

Important Dates:

   Workshop: September 9-11, 2019

   The workshop will be held at the INRIA Bordeaux Sud-OuestResearch Center, France.

Anshu Dubey, Argonne National Laboratory, and University of Chicago, Illinois, USA
Didem Unat, Koç University, Istanbul, Turkey
John Shalf, Lawrence Berkeley National Laboratory, California, USA
Torsten Hoefler, ETH Zürich, Switzerland
Emmanuel Jeannot, INRIA Bordeaux, France
Brice Goglin, INRIA Bordeaux, France