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Extreme Computing for Extreme Adaptive Optics

Hatem Ltaief, Dalal Sukkari, Oliver Guyon, David Keyes
2018 Proceedings of the Platform for Advanced Scientific Computing Conference on - PASC '18  
The real-time correction of telescopic images in the search for exoplanets is highly sensitive to atmospheric aberrations.  ...  The pseudo-inverse simulation code will be deployed on-sky for the Subaru telescope during observation nights scheduled early 2018.  ...  The challenges for the pseudo-inverse are twofold: numerical and computational.  ... 
doi:10.1145/3218176.3218225 dblp:conf/pasc/LtaiefSGK18 fatcat:bypnzpis6vg3nbcx4tmznnlcza

ADVANCED FEATURES OF NVIDIA KEPLER ARCHITECTURE AND PARALLEL COMPUTATION PLATFORM CUDA FOR DEVELOPING SCIENTIFIC COMPUTE-INTENSIVE APPLICATIONS

V.A. Dudnik, V.I. Kudryavtsev, S.A. Us, M.V. Shestakov
2019 Problems of Atomic Science and Technology  
New capabilities of the parallel computation platform CUDA are also described, in particular, regarding a set of program development tool extensions for the Fortran, C and C++ languages.  ...  The paper describes additional features offered by new Kepler architecture of NVIDIA graphic processors, and their usage for creating high performance programs in a wide range of scientific compute-intensive  ...  COMPUTING AND MODELLING SYSTEMS ADVANCED FEATURES OF NVIDIA KEPLER ARCHITECTURE AND PARALLEL COMPUTATION PLATFORM CUDA FOR DEVELOPING  ... 
doi:10.46813/2019-121-105 fatcat:k6dxzetqvjb25chihqqccvbs6m

MINT

Alexander Pletzer, Erik Behrens, Bill Little
2022 Proceedings of the Platform for Advanced Scientific Computing Conference  
Figure 1: Computation of the Antarctic circumpolar current (133 ×10 6 m 3 /s) south of Cape Horn.  ...  ACKNOWLEDGMENTS The authors wish to acknowledge the use of New Zealand eScience Infrastructure (NeSI) high performance computing facilities, consulting support and/or training services as part of this  ...  We acknowledge enlightening discussions with Christopher Eldred (Sandia National Lab) regarding de Rham complexes and thank David Lee (Australian Government -Bureau of Meteorology) for proofreading and  ... 
doi:10.1145/3539781.3539786 fatcat:x47xyrnr6nbqjorfzvvbtyadlu

Evaluating the Arm Ecosystem for High Performance Computing

Adrian Jackson, Andrew Turner, Michèle Weiland, Nick Johnson, Olly Perks, Mark Parsons
2019 Proceedings of the Platform for Advanced Scientific Computing Conference on - PASC '19  
We investigate the performance of complex scientific applications across multiple nodes, and we also assess the maturity of the software stack and the ease of use from a users' perspective.  ...  In this paper, we evaluate the Arm ecosystem, both the hardware offering and the software stack that is available to users, by benchmarking a production HPC platform that uses Marvell's ThunderX2 processors  ...  However, hardware only represents one part of the ecosystem that is required to deliver a usable High Performance Computing (HPC) platform for the varied workloads of computational simulation and machine  ... 
doi:10.1145/3324989.3325722 dblp:conf/pasc/JacksonTWJPP19 fatcat:4nfyfqv365hjtkd7gpjhbptxmu

FIST-HOSVD

Benjamin Cobb, Hemanth Kolla, Eric Phipps, Ümit V. Çatalyürek
2022 Proceedings of the Platform for Advanced Scientific Computing Conference  
In this paper, several novel methods of improving the memory locality of the Sequentially Truncated Higher Order Singular Value Decomposition (ST-HOSVD) algorithm for computing the Tucker decomposition  ...  We demonstrate up to ∼ 135× reduction in auxiliary memory consumption thereby increasing the problem size that can be computed for a given memory allocation by up to ∼ 3×, whilst maintaining comparable  ...  ACKNOWLEDGMENTS We would like to thank Grey Ballard for many insightful discussions pertaining to this work, as well as the anonymous reviewers for their helpful comments and suggestions over the course  ... 
doi:10.1145/3539781.3539798 fatcat:7qfom7ztkbeufnjjuvmcwhb42a

Towards Data-Driven Dynamic Surrogate Models for Ocean Flow

Wouter Edeling, Daan Crommelin
2019 Proceedings of the Platform for Advanced Scientific Computing Conference on - PASC '19  
problems is a necessity brought upon us by the wide range of spatial and temporal scales present in these problems, which cannot be all represented on a numerical grid without an inordinate amount of computational  ...  Instead of creating a deterministic parameterization, our goal is to infer a stochastic, data-driven surrogate model for the eddy forcing from a (limited) set of reference data, with the goal of accurately  ...  ACKNOWLEDGMENTS This research is funded by the Netherlands Organization for Scientific Research (NWO) through the Vidi project "Stochastic models for unresolved scales in geophysical flows", and from the  ... 
doi:10.1145/3324989.3325713 dblp:conf/pasc/EdelingC19 fatcat:hxtnias2bzdcviq3557srp3cqi

Automatic Global Multiscale Seismic Inversion

Michael Afanasiev, Christian Boehm, Alexey Gokhberg, Andreas Fichtner
2016 Proceedings of the Platform for Advanced Scientific Computing Conference on - PASC '16  
While the community has access to solvers which can harness modern heterogeneous computing architectures, the computational bottleneck has fallen to these memory-and manpower-bounded issues.  ...  To deal with the problems relating to computational expense, data coverage, and the increasing nonlinearity of waveform tomography with scale, we present the Collaborative Seismic Earth Model (CSEM).  ...  ACKNOWLEDGEMENTS The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the paper.  ... 
doi:10.1145/2929908.2929910 fatcat:7edoe2kafbgdbb4ubv4mymn4me

Urgent Supercomputing of Earthquakes

Josep de la Puente, Juan Esteban Rodriguez, Marisol Monterrubio-Velasco, Otilio Rojas, Arnau Folch
2020 Proceedings of the Platform for Advanced Scientific Computing Conference  
We propose a novel HPCbased urgent seismic simulation workflow, hereafter referred to as Urgent Computing Integrated Services for EarthQuakes (UCIS4EQ), which can deliver, potentially, much more accurate  ...  A better early assessment of the impact of earthquakes implies both technical and scientific challenges.  ...  The Graves-Pitarka Generator is available through the SCEC Broadband Platform version 19.4. We acknowledge the assistance by Favio Silva and Phillip Maechling on its compilation and execution.  ... 
doi:10.1145/3394277.3401853 dblp:conf/pasc/PuenteRVRF20 fatcat:26ovzsd47zbgrptrqgbpwqo3sy

A Parallel Solver for Graph Laplacians

Tristan Konolige, Jed Brown
2018 Proceedings of the Platform for Advanced Scientific Computing Conference on - PASC '18  
We present an unsmoothed aggregation multigrid method for solving graph Laplacians in a distributed memory setting.  ...  This formulation is amenable to linear algebra using arbitrary distributions and allows us to operate on a 2D sparse matrix distribution, which is necessary for parallel scalability.  ...  Our solver scales slightly worse than linearly up to 64 compute nodes. Past 64 nodes, scaling slows down significantly.  ... 
doi:10.1145/3218176.3218227 dblp:conf/pasc/KonoligeB18 fatcat:mxy43c6vhfcqlo66dzbbmtraym

Accelerating High-Resolution Weather Models with Deep-Learning Hardware

Sam Hatfield, Matthew Chantry, Peter Düben, Tim Palmer
2019 Proceedings of the Platform for Advanced Scientific Computing Conference on - PASC '19  
In the IFS, the Legendre transform is one of the most expensive model components and dominates the computational cost for simulations at a very high resolution.  ...  CCS CONCEPTS • Applied computing → Earth and atmospheric sciences. . 2019. Accelerating high-resolution weather models with deep-learning hardware. In  ...  INTRODUCTION High-performance computing architectures are currently undergoing a paradigm shift, prompting a reconsideration of how we design scientific computing applications [9] .  ... 
doi:10.1145/3324989.3325711 dblp:conf/pasc/HatfieldCDP19 fatcat:z33pducggra6lk4rbgig4eytfm

Hardware Locality-Aware Partitioning and Dynamic Load-Balancing of Unstructured Meshes for Large-Scale Scientific Applications

Pavanakumar Mohanamuraly, Gabriel Staffelbach
2020 Proceedings of the Platform for Advanced Scientific Computing Conference  
Using this information it intelligently chooses between shared and distributed parallel algorithms for partitioning and load-balancing.  ...  It provides powerful and scalable abstractions like one-sided distributed dictionaries and MPI3 shared memory based halo communicators for optimising HPC codes.  ...  This work was granted access to the HPC resources of IDRIS under an allocation by GENCI for the Grand Challenges Jean Zay (2019).  ... 
doi:10.1145/3394277.3401851 dblp:conf/pasc/MohanamuralyS20 fatcat:thhnjsb7ufbgbmvmf6abiyzlri

Performance optimization and load-balancing modeling for superparametrization by 3D LES

Gijs van den Oord, Maria Chertova, Fredrik Jansson, Inti Pelupessy, Pier Siebesma, Daan Crommelin
2021 Proceedings of the Platform for Advanced Scientific Computing Conference  
CCS CONCEPTS • Applied computing → Earth and atmospheric sciences; • Computing methodologies → Multiscale systems; Massively parallel algorithms; Massively parallel and high-performance simulations.  ...  We conclude that (quasi-)dynamical load-balancing can significantly reduce the runtime for such large-scale systems with wide variability in LES time-stepping speeds.  ...  Furthermore, we acknowledge the use of ECMWF's computing and archive facilities in the research reported here. Also SURFsara provided computing resources.  ... 
doi:10.1145/3468267.3470611 fatcat:zrxynikdyjasddlq545457xz5u

Flow field prediction on large variable sized 2D point clouds with graph convolution

Sebastian Strönisch, Marcus Meyer, Christoph Lehmann
2022 Proceedings of the Platform for Advanced Scientific Computing Conference  
CCS CONCEPTS • Applied computingComputer-aided design; Avionics; • Computing methodologies → Machine learning; • General and reference → Evaluation; • Computer systems organization → Neural networks  ...  For tackling the issue of complex geometries, this paper utilizes a graph-based machine learning approach for solving the regression problem of stationary fluid flow field prediction.  ...  The authors gratefully acknowledge the GWK's support for this project by providing computing time through the Center for Information Services and HPC (ZIH) at TU Dresden on HRSK-II.  ... 
doi:10.1145/3539781.3539789 fatcat:jebyz6nxwnb4rojaxppitm3phe

Parallel space-time likelihood optimization for air pollution prediction on large-scale systems

Mary Lai O. Salvaña, Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes
2022 Proceedings of the Platform for Advanced Scientific Computing Conference  
We would also like to acknowledge Intel for support in the form of an Intel Parallel Computing Center award Cray for the support provided during the Center of Excellence award to the Extreme Computing  ...  This work and research used resources from the Extreme Computing Research Center (ECRC) and the KAUST Supercomputing Laboratory at KAUST, including Cray XC40, KAUST Shaheen-II supercomputer.  ...  This makes PSO a prevalent choice for scientific applications.  ... 
doi:10.1145/3539781.3539800 fatcat:2loanacn7nhblkjebjb6kwunde

Benchmarking of state-of-the-art HPC Clusters with a Production CFD Code

Fabio Banchelli, Marta Garcia-Gasulla, Guillaume Houzeaux, Filippo Mantovani
2020 Proceedings of the Platform for Advanced Scientific Computing Conference  
As a consequence, efficient programming of such platforms becomes a complex task.  ...  Computing technologies populating high-performance computing (HPC) clusters are getting more and more diverse, offering a wide range of architectural features.  ...  Momentum is advanced explicitly, while the projection step of the algorithm, which consists of solving a Poisson equation for the pressure, provides the pressure stabilization [5] .  ... 
doi:10.1145/3394277.3401847 dblp:conf/pasc/BanchelliGHM20 fatcat:thmcdhm2obe4lfkwxqwrptph4u
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