IEEE Cluster 2017 is the 19th edition of the IEEE Cluster conference series, organized in cooperation with SIGHPC.
Clusters are the primary architecture for building today’s rapidly evolving cloud and HPC infrastructures, and are used to solve some of the most complex problems. The challenge to make them scalable, efficient, and more functional requires a community effort in the areas of cluster system design, management and monitoring, at the hardware, system, middleware and application levels.
2017 Highlight: Convergence of Big Data and High-Performance Computing. While the tools and cultures for High-Performance Computing and Big Data Analytics have evolved in divergent ways, both rely on cluster architectures. As we witness an increasing awareness that further progress in scientific research depends on both areas, the interoperability and scaling convergence of these two ecosystems is expected to be critical to the future. Therefore, we have chosen this year to highlight research topics in all areas expected to bring progress in understanding if, why and how clusters should support this convergence. Specific topics are dedicated to this direction within all conference areas alongside more traditional topics.
Topics: -Application, Algorithms, and Libraries -Architecture, Network/Communications, and Management -Programming and System Software -Data, Storage, and Visualization