Comparisons

Comparison benchmarks

What is it?

Simple comparisons between:

• CySparse;
• PySparse and
• SciPy.sparse

See the *.bench.txt and the corresponding *.py files in performance/comparisons for more details.

Results

Legend

• CySparse : ✅
• PySparse : 🔴
• SciPy.sparse : 🔸

More symbols means more performance gains between the winner and the second one.

Table LLSparseMatrix

What	Link	Winner
A * x	matvec	-
A^t * x	matvec_transp	-
A[i,j] = x	simple element assignment	-
x = A[i,j]	simple element retrieval	✅
col_scale	col_scale	✅ ✅
col_scale strided	col_scale_strided	✅ ✅
row_scale	row_scale	✅
row_scale strided	row_scale_strided	✅
norm_inf	norm_inf	-
norm_frob	norm_frob	-
norm_frob sym	norm_frob_sym	-
norm_one	norm_one	✅
generalize	generalize	-
scale	scale	-
copy	copy	✅ ✅
take	take	✅
shift	shift	✅
matdot	matdot	-

Table CSRSparseMatrix

What	Link	Winner

Table CSCSparseMatrix

What	Link	Winner