Kernels
Shareaza
| Kernels | Shareaza | |
|---|---|---|
| 6 | 1 | |
| 401 | 115 | |
| 0.0% | - | |
| 7.2 | 0.0 | |
| 17 days ago | over 1 year ago | |
| C | C | |
| GNU General Public License v3.0 or later | - |
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Kernels
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Can you give me some proof that storing multidimansional data into a 1d array is the standard and best way to do it?
https://github.com/ParRes/Kernels/tree/default/C1z has some examples I’ve tested in the past. 2d is in the filenames of the relevant ones.
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Fortran on GPU
I've evaluated all of these against each other. One presentation is https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s41620/ (sorry, you have to register - it's not my preference). The performance numbers there are based on code derived from https://github.com/ParRes/Kernels/tree/default/FORTRAN (the code differences are not interesting). Another comparison is found in https://github.com/jeffhammond/nwchem-tce-triples-kernels, which is more complicated in some ways.
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Cross Platform Computing Framework?
If you want to learn by viewing code side by side, https://github.com/ParRes/Kernels/tree/default/Cxx11 might be useful. I haven’t kept up with my RAJA ports because they kept making breaking changes in the API a few years ago (should be stable now).
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Co-Array MPI issue.
Try https://github.com/ParRes/Kernels/tree/default/FORTRAN coarray programs. Those were written by people who know what they’re doing and have been proven to execute correctly before. That might help you understand if your implementation is broken.
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I am in grad school and starting a CFD class soon. I am proficient in Python and Matlab, but the course requires Fortran. How rough of a time will I have coding difficult concepts in a new language? I’m hoping my logic skills will overcome any syntax issues I run into, but wanted to ask
https://github.com/ParRes/Kernels has examples of the same thing written in Fortran, MATLAB/Octave and Numpy, if it helps.
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Small Open Source HPC Code Recommendations
You absolutely went to take a look at the Parallel Research Kernels (PRK) repo at https://github.com/ParRes/Kernels .
Shareaza
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Modern shareaza for linux and general purpose wiki
Shareaza is a multi-protocol p2p file sharing program made in C++. envy was following it's legacy. But both are dead now.
What are some alternatives?
grbl-L-Mega - An open source, embedded, high performance g-code-parser and CNC milling controller written in optimized C that will run on an Arduino Mega2560. Forked from GRBL modified for use on a lathe with spindle sync threading
Envy - Envy. Multi P2P Filesharing+Bittorrent, Shareaza Legacy.
analisis-numerico-computo-cientifico - Análisis numérico y cómputo científico
spacedrive - Spacedrive is an open source cross-platform file explorer, powered by a virtual distributed filesystem written in Rust.
miniMD - MiniMD Molecular Dynamics Mini-App
TKA-PC-Port - A Windows port of Techno Kitten Adventure.
ompi - Open MPI main development repository
Actyx - Local-First Cooperation based on Event Sourcing
john - John the Ripper jumbo - advanced offline password cracker, which supports hundreds of hash and cipher types, and runs on many operating systems, CPUs, GPUs, and even some FPGAs
computecpp-sdk - Collection of samples and utilities for using ComputeCpp, Codeplay's SYCL implementation
JohnTheRipper - John the Ripper jumbo - advanced offline password cracker, which supports hundreds of hash and cipher types, and runs on many operating systems, CPUs, GPUs, and even some FPGAs [Moved to: https://github.com/openwall/john]
nwchem-tce-triples-kernels - NWChem TCE CCSD(T) loop-driven kernels for performance optimization experiments