Douglas W. Jacobsen
Los Alamos National Laboratory
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Featured researches published by Douglas W. Jacobsen.
international conference on conceptual structures | 2015
Abhinav Sarje; Sukhyun Song; Douglas W. Jacobsen; Kevin A. Huck; Jeffrey K. Hollingsworth; Allen D. Malony; Samuel Williams; Leonid Oliker
Abstract This paper addresses two key parallelization challenges the unstructured mesh-based ocean modeling code, MPAS-Ocean, which uses a mesh based on Voronoi tessellations: (1) load imbalance across processes, and (2) unstructured data access patterns, that inhibit intra- and inter-node performance. Our work analyzes the load imbalance due to naive partitioning of the mesh, and develops methods to generate mesh partitioning with better load balance and reduced communication. Furthermore, we present methods that minimize both inter- and intra- node data movement and maximize data reuse. Our techniques include predictive ordering of data elements for higher cache efficiency, as well as communication reduction approaches. We present detailed performance data when running on thousands of cores using the Cray XC30 supercomputer and show that our optimization strategies can exceed the original performance by over 2×. Additionally, many of these solutions can be broadly applied to a wide variety of unstructured grid-based computations.
Journal of Physical Oceanography | 2015
Phillip J. Wolfram; Todd D. Ringler; Mathew Maltrud; Douglas W. Jacobsen; Mark R. Petersen
AbstractIsopycnal diffusivity due to stirring by mesoscale eddies in an idealized, wind-forced, eddying, midlatitude ocean basin is computed using Lagrangian, in Situ, Global, High-Performance Particle Tracking (LIGHT). Simulation is performed via LIGHT within the Model for Prediction across Scales Ocean (MPAS-O). Simulations are performed at 4-, 8-, 16-, and 32-km resolution, where the first Rossby radius of deformation (RRD) is approximately 30 km. Scalar and tensor diffusivities are estimated at each resolution based on 30 ensemble members using particle cluster statistics. Each ensemble member is composed of 303 665 particles distributed across five potential density surfaces. Diffusivity dependence upon model resolution, velocity spatial scale, and buoyancy surface is quantified and compared with mixing length theory. The spatial structure of diffusivity ranges over approximately two orders of magnitude with values of O(105) m2 s−1 in the region of western boundary current separation to O(103) m2 s−1...
Ocean Modelling | 2015
Mark R. Petersen; Douglas W. Jacobsen; Todd D. Ringler; Matthew W. Hecht; Mathew Maltrud
Geoscientific Model Development | 2018
Matthew J. Hoffman; Mauro Perego; Stephen Price; William H. Lipscomb; Tong Zhang; Douglas W. Jacobsen; Irina Kalashnikova Tezaur; Andrew G. Salinger; Raymond S. Tuminaro; Luca Bertagna
Archive | 2013
Mark R. Petersen; Todd D. Ringler; Douglas W. Jacobsen
Archive | 2018
Mark R. Petersen; Xylar Asay-Davis; Douglas W. Jacobsen; Mathew Maltrud; Todd D. Ringler; Luke Van Roekel; Carmela Veneziani; Phillip J. Wolfram
Archive | 2014
Mark R. Petersen; Douglas W. Jacobsen; Todd D. Ringler
Archive | 2014
Douglas W. Jacobsen; Todd D. Ringler; Mark R. Petersen; Juan A. Saenz; Phillip J. Wolfram; Philip W. Jones; Mathew Einar Maltrud
Archive | 2013
Mark R. Petersen; Douglas W. Jacobsen; Todd D. Ringler
Archive | 2012
Douglas W. Jacobsen; Todd D. Ringler; Mark R. Petersen; Philip W. Jones; Mathew Maltrud