PyLops - sliding and patching benchmarking

This repository contains an extensive benchmarking suite for the new implementations of PyLops sliding and patching operators. Notebooks and summary tables of timings and memory uses of the old and new implementations are provided.

These numbers have been computed using an Intel(R) Xeon(R) Gold 6230R CPU @ 2.10GHz with an NVIDIA GeForce RTX 3090 GPU.

Time-to-solution summary tables (New: with savetaper=True - fast option)

NumPy

Operator	Old (ms)	New (ms)	New broad. (ms)
Sliding1D	24.2	12.6	1.5
Sliding1D.H	13.2	7.65	0.353
Sliding2D	200	20.7	16.2
Sliding2D.H	10.8	8	5.1
Sliding3D	1620	20.7	16.2
Sliding3D.H	674	446	205
Patching2D	108	50	64.8
Patching2D.H	59.7	41.3	81
Patching3D	1880	587	759
Patching3D.H	1170	796	491

CuPy (only GPU time using cupyx.profiler.benchmark)

Operator	Old (ms)	New (ms)	New broad. (ms)
Sliding1D	X	X	X
Sliding1D.H	X	X	X
Sliding2D	66.8	60.2	5
Sliding2D.H	47	32	0.5
Sliding3D	338	303	14
Sliding3D.H	216	189	2.3
Patching2D	219	173	17.8
Patching2D.H	160	96	0.67
Patching3D	104	80.8	7.2
Patching3D.H	67.1	41.3	6.9

Memory tables (New: with savetaper=True/False)

Operator	Old (Mb)	New (Mb)	New broad. (Mb)
Sliding1D	1.2	0.13/0.016	0.13/0.016
Sliding2D
Sliding3D	1.1	207/2.89	207/2.89
Patching2D
Patching3D