Parallelise Pi computing
#232
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Jan 14, 2024
…rk-lang#232) * CSR Representation for Sparse Matrices (lurk-lang#38) * add csr feature * remove feature remove conversions * cleanup * avoid iter() and go row-by-row * cleanup and apply suggestions * add R1CSShape padding test * add more suggestions * refactor: Refactor sparse namespace and SparseMatrix visibility - Modifies the visibility of `sparse` module from public to private - Makes `SparseMatrix` class within `sparse` module public - Updates `SparseMatrix` import across several files to accommodate visibility changes * fix: define matrix inputs in idiomatic Nova style * chore: Refactor dependencies for r1cs module - Shifted `proptest` and `rand` dependencies to dev-dependencies in `Cargo.toml` - Introduced testing flag for `util` module under `r1cs` --------- Co-authored-by: Hanting Zhang <[email protected]>
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This addresses following comment from @adr1anh.
This inner loop, where
Pipolynomials are computed, can be parallelised to improve proving performance a little bit.The text was updated successfully, but these errors were encountered: