Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach, In: SC '15 Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
- Los Alamos National Lab, Los Alamos, NM
- OLCF, Oak Ridge National Lab, Oak Ridge, TN
- High Energy Physics, Argonne National Lab, Lemont, IL
- Argonne National Lab, Lemont, IL
- ALCF, Argonne National Lab, Lemont, IL
- Lawrence Livermore Nat. Lab, Livermore, CA
- OLCF Oak Ridge National Lab, Oak Ridge, TN
- University of Chicago and Argonne National Laboratory
Large-scale simulations can produce hundreds of terabytes to petabytes of data, complicating and limiting the efficiency of workflows. Traditionally, outputs are stored on the file system and analyzed in post-processing. With the rapidly increasing size and complexity of simulations, this approach faces an uncertain future. Trending techniques consist of performing the analysis in-situ, utilizing the same resources as the simulation, and/or off-loading subsets of the data to a compute-intensive analysis system. We introduce an analysis framework developed for HACC, a cosmological N-body code, that uses both in-situ and co-scheduling approaches for handling petabyte-scale outputs. We compare different analysis set-ups ranging from purely off-line, to purely in-situ to in-situ/co-scheduling. The analysis routines are implemented using the PISTON/VTK-m framework, allowing a single implementation of an algorithm that simultaneously targets a variety of GPU, multi-core, and many-core architectures.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- OSTI ID:
- 1567400
- Journal Information:
- PROCEEDINGS OF SC15: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS, Conference: International Conference for High Performance Computing, Networking, Storage and Analysis, Austin, Texas, November 15-20, 2015
- Country of Publication:
- United States
- Language:
- English
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