madeleineudell / madeleineudell/ParallelSparseMatMul.jl
shsprandn and shsprand don't guarantee entries have unique values
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- Dominant language
- Julia
- Stars
- 44
- Forks
- 13
- PR merge metrics
- No merged PRs in 30d
Description
shsprandn and shsprand don't guarantee that entries have unique values; ie I can have an entry [3,4] = .4 and [3,5] = -.2. This is fine if I'm only multiplying by the matrix (the entries are just added) but makes no sense for indexing or factorizations. This can be fixed by making shmem_randsample sample without replacement within each column.
Contributor guide
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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 by locating shsprandn, shsprand, and shmem_randsample, then read how sampling is performed within each column. The issue's examples provide behavioral cases; the work is done when entries within every column have unique row values while the existing sparse-matrix behavior remains valid.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- data
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 35/100