PADAL17



Fourth Workshop on Programming Abstractions for Data Locality (PADAL'17)

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, submitted a survey journal on data locality abstractions to IEEE TPDS, which recently got accepted for publication. We extend our thanks to all contributors to the PADAL articles. The third workshop held in Kobe Japan 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 missing pieces in the previous workshops and also discuss already mature APIs that found their way into the real life applications. 

This year’s workshop will be more focused towards

  1. Penetration of data locality abstractions in HPC applications

  2. Locality concerns in non HPC applications such as machine learning

  3. Locality abstractions for emerging memory technologies

  4. Performance modeling for assessing data locality


Important Dates:

   Workshop: August 2-4, 2017

Location: 
   The workshop will be held at University of Chicago in Chicago, IL, USA. 

Organizers:  
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