Algorithms and Systems for MapReduce and Beyond (BeyondMR) is a workshop for research at the frontier of large-scale computations, with topics ranging from algorithms, to computational models, to the systems themselves. BeyondMR will be held in conjunction with SIGMOD/PODS2017, in Chicago, IL, USA on Friday May 19, 2017.
The BeyondMR workshop aims to explore algorithms, computational models, architectures, languages and interfaces for systems that need large-scale parallelization and systems designed to support efficient parallelization and fault tolerance. These include specialized programming and data-management systems based on MapReduce and extensions, graph processing systems, data-intensive workflow and dataflow systems.
We invite submission on topics such as:
Author: Ke Yi, Hong Kong University of Science and Technology, China
Title: The relationships among coarse-grained parallel models
Author: Matei Zaharia, Stanford University, USA
Title: What's Changing in Big Data?