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PASC Program

Presenter

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Stefano Markidis
KTH Royal Institute of Technology
Presentations
Paper
Reducing Communication in the Conjugate Gradient Method: A Case Study on High-Order Finite Elements
Climate, Weather and Earth Sciences
Poster
P34 - Deep Learning-Based Forecast of Space Weather Indices
Minisymposium
Reducing IO Overhead with Compression and In-Situ Techniques
Computer Science and Applied Mathematics
Engineering
Poster
P32 - Performance Analysis of Nonlinear Optimization Problems from Radiation Therapy Treatment Planning on HPC Systems
Poster
P38 - Designing a Modern 3D FFT Library for HPC with Data-Centric Parallel Programming
Minisymposium
Neko - Using Modern Fortran to Enable Next Generation Incompressible Flow Simulations on Heterogenous Hardware
Computer Science and Applied Mathematics
Engineering
Poster
P37 - Preparing a High-Order Incompressible Flow Solver for Next Generation Supercomputers
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