flatironinstitute/sparse_dot
Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
PythonMIT
Pinned issues
Issues
- 4
- 2
Import fails when using SciPy 1.14
#25 opened by hrittich - 2
Segfault on import
#24 opened by peterwilton-ttam - 6
dot_product_mkl: ValueError: Input matrices to dot_product_mkl must be CSR, CSC, or BSR; COO is not supported
#23 opened by yCobanoglu - 5
Support for case where number of stored elements in one of the matrices is greater than the range of int32
#6 opened by DeepakSaini119 - 3
- 1
- 2
Can't use multicore
#17 opened by yunweilu - 3
how to set multithreads
#12 opened by leebo-2020 - 6
Not working with Complex Numbers?
#18 opened by j1ver - 3
memory leak in dense x csc multiplication
#16 opened by simonwm - 4
MKL 2021 version with conda setup not working
#15 opened by neiladit - 7
[Tests] Nose -> pytest
#14 opened by leycec - 5
`dot_product_mkl` hangs if `multiprocessing` is used and an `sklearn`-module is loaded
#7 opened by kostrykin - 4
- 8
MKL internal representation for BSR
#10 opened by gnool - 5
Support an output array parameter.
#9 opened by tbenthompson - 2
SPARSE_STATUS_ALLOC_FAILED
#8 opened by alexbovet - 2
- 4
Matrix-vector products -- special case for A = sparse, B = dense with shape (N, 1)
#1 opened by tbenthompson