Solving Ax=b and A and b are sparse matrix and vector in mtx format - no solution yet.
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- Dominant language
- Cuda
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Description
sparse matrix A.mtx
%%MatrixMarket matrix coordinate real general
1010022 1010022 41237996
1 1 11523.7737219475
1 2 1061.67578610102
1 3 2409.74830683316
1 4 -1580.26693723716
1 5 -1111.24700614505
1 6 594.409310481413
1 421 -2147.73225287939
1 422 -74.6240178137823
rhs b.mtx
%%MatrixMarket matrix array real general
1010022 1
....
-4.236682168385077e-003
1.185000494422498e-003
1.183578734489146e-004
3.558279680754983e-004
-4.740807536732607e-003
5.900654107835292e-005
-5.422949179062552e-003
-6.338038308716456e-003
-6.881913714981503e-006
...
I am trying to run it on a cloud gpu (A100 40GB card)
amgx_ilu_solver.cpp https://pastebin.com/pHbRUq69
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked amgx_ilu_solver.cpp and solver_config.json, then review the Matrix Market A.mtx and b.mtx dimensions and formats. Reproduce the attempted solve on the stated A100 setup and determine why it produces no solution; done means the cause is identified and a working result or a specific failure is documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- hpc
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100