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This is a tracking issue for a bug observed in [cuGraph PR 4088](https://github.com/rapidsai/cugraph/pull/4088), which adds CUDA 12.2 support.
The error log looks like this:
```
22/28 Test #20:…
bdice updated
9 months ago
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**Describe the bug**
Multiplication of either CSC or CSR sparse matrices is prohibitively slow.
**To reproduce**
The Minimal Working Example (MWE) for this bug:
```julia
using CUDA
using…
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Hi guys,
i am trying to use copyto! from device -> host
```
P=ilu02(A_gpu);
```
the type `115788×115788 CuSparseMatrixCSC{ComplexF64, Int32} with 462440 stored entries`
now I will c…
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### Expected Behavior
Updating ComfyUI does not install nvidia dependencies on AMD systems
### Actual Behavior
Updating ComfyUI installs nvidia dependencies on AMD systems
### Steps to Reproduce
…
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I'm trying to run the tutorial notebooks from a docker image built from the provided Dockerfile.
### Missing dependencies
The following dependencies seem to be missing when I try to run all note…
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**Describe the bug**
Some cases of appropriate sparse matrix broadcasts error on CUDA sparse matrices
**To reproduce**
The Minimal Working Example (MWE) for this bug:
```julia
using CUDA
…
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I would like to make a feature request or contribute to making an preconditioned iterative solver for bicgstab using cusparse wrappers (under `cupyx.scipy.sparse.linalg.bicgstab`), which is essential …
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### Description
From cuda 11.2, cusparse SpMM can be used for performing sparse matrix - dense matrix multiplication, where the sparse matrix is represented in Blocked-ELL format (see https://github.…
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```julia
julia> using CUDA, SparseArrays
julia> dense = rand([0,1], 3, 4) # Matrix{Int64}
julia> sp = sparse(dense) # SparseMatrixCSC{Int64, Int64}
julia> cuarray = cu(dense) # CuArray{…
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**Describe the bug**
The power of the adjoint of a `CuSparseMatrix` does not work anymore. It is only related to Julia v1.10 and not to previous versions.
**To reproduce**
The Minimal Worki…