Paul E. Murphy 33fb253a66 core: vectorize dotProd_32s ... Use 4x FMA chains to sum on SIMD 128 FP64 targets. On x86 this showed about 1.4x improvement. For PPC, do a full multiply (32x32->64b), convert to DP then accumulate. This may be slightly less precise for some inputs. But is 1.5x faster than the above which is about 1.5x than the FMA above for ~2.5x speedup.		2019-08-20 15:28:36 -05:00
..
3rdparty/SoftFloat
doc	docs: intro formatting update, minor cleanup	2018-11-04 02:36:24 +00:00
include/opencv2	core: vectorize dotProd_32s	2019-08-20 15:28:36 -05:00
misc	Merge pull request #14440 from alalek:async_array	2019-06-08 20:57:15 +00:00
perf	core: disable I/O perf test	2019-02-27 18:07:45 +03:00
src	core: vectorize dotProd_32s	2019-08-20 15:28:36 -05:00
test	core(persistence): fix writeRaw() / readRaw() struct support	2019-07-16 14:03:39 +03:00
CMakeLists.txt	Merge pull request #14210 from terfendail:wui_512	2019-06-03 18:05:35 +03:00