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Accelerating the Conjugate Gradient Algorithm with GPUs in CFD Simulations.

, , , , , , and . VECPAR, volume 10150 of Lecture Notes in Computer Science, page 35-43. Springer, (2016)

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In Situ Statistical Analysis for Parametric Studies., , , and . ISAV@SC, page 35-39. IEEE Computer Society, (2016)Accelerating the Conjugate Gradient Algorithm with GPUs in CFD Simulations., , , , , , and . VECPAR, volume 10150 of Lecture Notes in Computer Science, page 35-43. Springer, (2016)In-situ Visualization for Computation Workflows., , , and . ISC Workshops, volume 10524 of Lecture Notes in Computer Science, page 655-661. Springer, (2017)In-Situ Visualization in Computational Fluid Dynamics Using Open-Source tools: Integration of Catalyst into Code_Saturne., , , and . Topological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces, Springer, (2015)Accelerating Computational Fluid Dynamics on the IBM Blue Gene/P Supercomputer., , , , , , and . SBAC-PAD, page 159-166. IEEE Computer Society, (2010)Melissa: large scale in transit sensitivity analysis avoiding intermediate files., , , , and . SC, page 61:1-61:14. ACM, (2017)Broadcast-Enabled Massive Multicore Architectures: A Wireless RF Approach., , , , , , , , , and 2 other author(s). IEEE Micro, 35 (5): 52-61 (2015)Multiple threads and parallel challenges for large simulations to accelerate a general Navier-Stokes CFD code on massively parallel systems., , , , , , , , , and . Concurrency and Computation: Practice and Experience, 25 (6): 843-861 (2013)In-Situ visualization in fluid mechanics using Catalyst: A case study for Code Saturne., , and . LDAV, page 53-57. IEEE Computer Society, (2013)