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Signed-off-by: Alex McCaskey <amccaskey@nvidia.com>
Signed-off-by: Alex McCaskey <amccaskey@nvidia.com>
Signed-off-by: Alex McCaskey <amccaskey@nvidia.com>
Signed-off-by: Alex McCaskey <amccaskey@nvidia.com>
Signed-off-by: Alex McCaskey <amccaskey@nvidia.com>
- Introduced `build.sh` for building the Docker image with the specified version. - Added `Dockerfile` to set up the environment with necessary packages for Soft-RoCE and GPU support. - Created `run_softrce.sh` to facilitate running the container with appropriate configurations and checks for the rdma_rxe kernel module.
…st CMake configuration, source files, and documentation to reflect the new naming convention. Introduce new NVQLink device implementations and update unit tests accordingly.
…docs, not implemented yet.
Separate configuration files by architectural layer for better modularity and clearer separation of concerns.
Add QCS control plane infrastructure that uses UDP for out-of-band communication to configure RDMA connections and control program execution. This implements the separation between control plane (UDP) and data plane (RoCE) as described in the integration plan.
Signed-off-by: boschmitt <7152025+boschmitt@users.noreply.github.com>
Signed-off-by: Shane Caldwell <scaldwell@nvidia.com>
* add demo instructions * fix link * DCO Remediation Commit for Shane Caldwell <scaldwell@nvidia.com> I, Shane Caldwell <scaldwell@nvidia.com>, hereby add my Signed-off-by to this commit: 1208bdc I, Shane Caldwell <scaldwell@nvidia.com>, hereby add my Signed-off-by to this commit: 8bd20cd Signed-off-by: Shane Caldwell <scaldwell@nvidia.com> --------- Signed-off-by: Shane Caldwell <scaldwell@nvidia.com>
Co-authored-by: Mitchell <mitch_dz@hotmail.com> Signed-off-by: Thien Nguyen <thiennguyen@nvidia.com>
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CUDA Quantum Docs Bot: A preview of the documentation can be found here. |
Signed-off-by: Thien Nguyen <thiennguyen@nvidia.com>
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Command Bot: Processing... |
Signed-off-by: Thien Nguyen <thiennguyen@nvidia.com>
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Command Bot: Processing... |
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CUDA Quantum Docs Bot: A preview of the documentation can be found here. |
Signed-off-by: Thien Nguyen <thiennguyen@nvidia.com>
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Command Bot: Processing... |
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CUDA-Q real-time provides low-level components for real-time co-processing between FPGA and CPU-GPU systems.
This includes CI pipelines to build realtime installers. These installers are also available under
Publishingartifacts.