Comments (4)
Though off the topic, if you would like to use PETSc (which serves a similar purpose to Trilinos), you could try our AmgX wrapper for PETSc (code repo & DOI: 10.21105/joss.00280). Our wrapper supports multiple GPUs sharing one computing node and also distributed GPUs (clusters). The wrapper only supports the MPIAIJ sparse matrix from PETSc.
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Thanks for the hint.
What you did looks interesting and I will try to use it.
Best regards,
Serge
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@svancri
No, we don't currently developing adaptors, but will be happy to list existing ones in the README.
@piyueh
Can i list your AMGX wrapper for PETSc repo in the AMGX readme?
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@marsaev Yes, of course!
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Related Issues (20)
- Build issue with OMP requirement HOT 1
- AMGX 2.3.0 still indicates 2.2.0.132-opensource HOT 1
- Mixed precision modes not currently supported for CUDA 10.1 or later? HOT 2
- CMAKE [Build] error HOT 1
- [Build] v2.4.0 with Cuda 11.0 HOT 4
- Benchmarking HOT 1
- [Build] HOT 3
- Is there a way to reduce solve setup time? HOT 1
- [Build] Build Error with MVAPICH2-GDR HOT 5
- Seeking Advice on Configuring AMGX for Solving a Poorly-Conditioned Matrix Equation
- Seeking Advice on Configuring AMGX for Solving a Poorly-Conditioned Matrix Equation HOT 2
- [Issue] Recovering from out of memory error
- [Build] OKay to ENABLE NvToolsExt for Windows? HOT 2
- [Build] CMake Error in Windows with GCC HOT 2
- [Build] _NV_IF__NV_TARGET_BOOL_NV_PROVIDES_SM_90 is undefined HOT 1
- Error trying to build an app that uses AmgX HOT 6
- AMGX Fails to Converge to the Correct Solution
- Seeking advice for setting up solver for finite element
- [Issue]solution depends on the number of levels of AMG grid
- AMGX crashed due to out of memory[Issue] HOT 1
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