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C++ & Python API for Scientific I/O with openPMD
openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common... -
C++ & Python API for Scientific I/O with openPMD
openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common... -
C++ & Python API for Scientific I/O with openPMD
openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common... -
C++ & Python API for Scientific I/O with openPMD
openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common... -
C++ & Python API for Scientific I/O with openPMD
openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common... -
C++ & Python API for Scientific I/O with openPMD
openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common... -
C++ & Python API for Scientific I/O with openPMD
openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common... -
C++ & Python API for Scientific I/O with openPMD
openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common... -
C++ & Python API for Scientific I/O with openPMD
openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common... -
C++ & Python API for Scientific I/O with openPMD
openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common... -
C++ & Python API for Scientific I/O with openPMD
openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common... -
C++ & Python API for Scientific I/O with openPMD
openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common... -
C++ & Python API for Scientific I/O with openPMD
openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common... -
piSVM1.2.1 Analytics 10-Fold Cross-Validation Indian Pines Images Processed 3...
piSVM version 1.2.1 Deployment JUDGE cluster of the Juelich Supercomputing Centre in Germany Parallel Support Vector Machine (SVM) 10-fold cross-validation runs for model... -
Old-fashioned CPU optimisation of a fluid simulation for investigating turbop...
The used spectral code performs Direct Numerical Simulation of particle-laden non-isothermal channel flow at a frictional Reynolds number of 950. It has been parallelized... -
Towards petascaling of the NEMO ocean model
This poster describes different efforts to improve the scalability of the NEMO ocean model. Firstly, advanced parameters of the MPI-communication library were optimized.... -
piSVM1.2.1 Analytics 10-Fold Cross-Validation Indian Pines Images Raw 200 Fea...
piSVM version 1.2.1 Deployment JUDGE cluster of the Juelich Supercomputing Centre in Germany Parallel Support Vector Machine (SVM) 10-fold cross-validation runs for model... -
piSVM1.2.1 Analytics Training Indian Pines Images Raw 50 Classes
Parallel training of a SVM classification model achieving a speed-up using raw remote sensing data. HPC Resource used in analytics is JUDGE cluster of the JUELICH Supercomputing... -
piSVM1.2.1 Analytics Training Indian Pines Images Processed 30 Features 52 Cl...
piSVM version 1.2.1 Deployment JUDGE cluster of the Juelich Supercomputing Centre in Germany Parallel Support Vector Machine (SVM) classification runs to analyse remote sensing... -
piSVM1.2.1 Analytics Training (10x-CV optimized) Indian Pines Images Raw 200 ...
piSVM version 1.2.1 Deployment JUDGE cluster of the Juelich Supercomputing Centre in Germany Parallel Support Vector Machine (SVM) classification runs to analyse remote sensing...