Minisymposium: MS30 - Mapping Parallel Scientific Applications onto Complex Architectures Portably and Efficiently
Event TypeMinisymposium
Scientific Fields
Computer Science and Applied Mathematics
TimeThursday, 13 June 201914:15 - 16:15
LocationHG F 3
DescriptionMany scientific applications are expected to provide breakthroughs in science and engineering with exascale supercomputers. To this end, large parallel codes need to be mapped efficiently to complex architectures involving heterogeneous compute and memory resources, not to mention multiple levels of memory, e.g., high-bandwidth and high-capacity memories. The process of mapping processes, threads, GPU kernels, etc. efficiently to a supercomputer is complex and machine dependent. In fact, many performance workshops and tutorials in computer and computational science dedicate a significant portion of time to this problem alone, even before delving into their innovative approaches. In this minisymposium, we delve into the challenges posed by this problem together with ongoing solutions by world-class supercomputer centers and private industry. There are two challenges. First, the efficient mapping of hybrid compute abstractions (e.g., MPI+X) to the underlying hardware in a portable manner across architectures. Second, the way of expressing these mappings and their available features differ significantly from runtime system to runtime system. We will discuss promising mapping algorithms as well as mechanisms and interfaces to adequately host such algorithms portably. This minisymposium aims to foster collaborations in this area with feedback from the scientific community.
14:15 - 14:45Cross-Architecture Affinity for Exascale Computing
Computer Science and Applied Mathematics
14:45 - 15:15mpipin: Towards Portable Process Pinning for MPI Applications
Computer Science and Applied Mathematics
15:15 - 15:45Utility Thread Interface: A System-Wide Resource Management Framework for Helper/Compute Threads
Computer Science and Applied Mathematics
15:45 - 16:15A Supercomputer OS Approach to Affinity
Computer Science and Applied Mathematics