Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Added sparse benchmarks #22

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Added sparse benchmarks #22

wants to merge 1 commit into from

Conversation

AlexandruChiri
Copy link

I have added a few sparse benchmarks to NPBench:

  • Banded Matrix-Matrix-Transposed multiplication (A * B * A^T). NumPy already had an implementation for banded matrix multiplication, but it required the data to be in dense format (2D numpy arrays).
  • Conjugate Gradient Method for CSR matrices.
  • BiConjugate Gradient Method for CSR matrices.
  • BiConjugate Stabilized Gradient Method for CSR matrices.
  • Minimum Residual Method for CSR matrices.
  • Generalized Minimum Residual Method for CSR matrices.
  • CSR Matrix-Matrix multiplication.

@AlexandruChiri
Added sparse benchmarks
391ce3d 
I have added a few sparse benchmarks to NPBench:
- Banded Matrix-Matrix-Transposed multiplication (A * B * A^T). NumPy already had an implementation for banded matrix multiplication, but it required the data to be in dense format (2D numpy arrays).
- Conjugate Gradient Method for CSR matrices.
- BiConjugate Gradient Method for CSR matrices.
- BiConjugate Stabilized Gradient Method for CSR matrices.
- Minimum Residual Method for CSR matrices.
- Generalized Minimum Residual Method for CSR matrices.
- CSR Matrix-Matrix multiplication.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Reviewers
No reviews
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

Successfully merging this pull request may close these issues.
1 participant
@AlexandruChiri