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![]() Using CUDA, memory can be allocated on the GPU and shared to peers on the PCIe bus such as the FPGA. Furthermore, the DMA on the GPU can also be used to read and write to/from other memory on the PCIe bus, such as BRAM on the FPGA. |
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libvillas-fpga.pc.in | ||
README.md |
VILLASfpga
TODO: Write project description
Documentation
User documentation is available here: https://villas.fein-aachen.org/doc/fpga.html
Copyright
2017, Institute for Automation of Complex Power Systems, EONERC
License
This project is released under the terms of the GPL version 3.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
For other licensing options please consult Prof. Antonello Monti.
Contact
- Steffen Vogel stvogel@eonerc.rwth-aachen.de
Institute for Automation of Complex Power Systems (ACS)
EON Energy Research Center (EONERC)
RWTH University Aachen, Germany