SCHEDULE: NOV 16-22, 2013
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Investigating Applications Portability with the Uintah DAG-Based Runtime System on PetaScale Supercomputers
SESSION: Application Performance Characterization
EVENT TYPE: Papers
TIME: 4:30PM - 5:00PM
SESSION CHAIR: Yao Zhang
AUTHOR(S):Qingyu Meng, Alan Humphrey, John Schmidt, Martin Berzins
Present trends in high performance computing present formidable challenges for applications code using multicore nodes with co-processors and reduced memory while still attaining scalability. Software frameworks that execute machine-independent applications code using a runtime system that shields users from architectural complexities offer a possible solution. The Uintah framework for example, solves a broad class of large-scale problems on structured adaptive grids using fluid-flow solvers coupled with particle-based solids methods. Uintah executes directed acyclic graphs of computational tasks with a scalable asynchronous and dynamic runtime system for CPU cores and/or accelerators/co-processors on a node. Uintah's clear separation between application and runtime code has led to scalability increases of 1000x without significant changes to application code. In this work, this methodology is tested on three leading Top500 machines; OLCF Titan, TACC Stampede and ALCF Mira using three diverse and challenging applications problems.
Yao Zhang (Chair) - Argonne National Laboratory
Qingyu Meng - University of Utah
Alan Humphrey - University of Utah
John Schmidt - University of Utah
Martin Berzins - University of Utah
The full paper can be found in the ACM Digital Library