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| 2019-09-14 11:19:01 -0600 | commented question | c++ matrix optimization which is look slower than optimized python numpy ? I checked MKL is already in place . I am still wondering how we can reach the numpy/numba optimized speed ? most of th |
| 2019-09-14 11:18:29 -0600 | commented question | c++ matrix optimization which is look slower than optimized python numpy ? I checked MKL is already in place . I am still wondering how we can reach the numpy/numba optimized speed ? most of th |
| 2019-09-14 11:18:18 -0600 | commented question | c++ matrix optimization which is look slower than optimized python numpy ? I checked MKL is already in place . I am still wondering how we can reach the numpy/numba optimized speed ? most of th |
| 2019-09-14 11:18:06 -0600 | commented question | c++ matrix optimization which is look slower than optimized python numpy ? I checked MKL is already in place . I am still wondering how we can reach the numpy/numba optimized speed ? most of th |
| 2019-09-14 04:21:10 -0600 | commented question | c++ matrix optimization which is look slower than optimized python numpy ? T tested with eigen : Eigen::MatrixXf b_cmp(1,512); Eigen::MatrixXf e_broad(1,512); Eigen::MatrixXf feat(number_of_ |
| 2019-09-14 04:20:33 -0600 | commented question | c++ matrix optimization which is look slower than optimized python numpy ? T tested with eigen : Eigen::MatrixXf b_cmp(1,512); Eigen::MatrixXf e_broad(1,512); Eigen::MatrixXf feat(number_of_ |
| 2019-09-13 13:06:02 -0600 | commented question | c++ matrix optimization which is look slower than optimized python numpy ? is it valuable to write these with Eigen ? any body experienced ? |
| 2019-09-13 11:55:20 -0600 | commented question | c++ matrix optimization which is look slower than optimized python numpy ? with subtract seconds 3.89342 almost same.. |
| 2019-09-13 11:19:17 -0600 | commented question | c++ matrix optimization which is look slower than optimized python numpy ? for only below code timing is "seconds 0.639563" for 2milyon times calculation. cv::pow(broad,2,broad); |
| 2019-09-13 11:19:01 -0600 | commented question | c++ matrix optimization which is look slower than optimized python numpy ? for only below code timing is "seconds 0.639563" for 2milyon times calculation. cv::pow(broad,2,broad); |
| 2019-09-13 11:18:45 -0600 | commented question | c++ matrix optimization which is look slower than optimized python numpy ? for only below code timing is "seconds 0.639563" for 2milyon times calculation. cv::pow(broad,2,broad); |
| 2019-09-13 10:49:06 -0600 | commented question | c++ matrix optimization which is look slower than optimized python numpy ? There is already mkl library installed. And no lazy operation I assume. I am testing both above codes to calculate 1mill |
| 2019-09-13 07:33:19 -0600 | commented question | c++ matrix optimization which is look slower than optimized python numpy ? please look Edit. its compiled with CPU/HW features: Baseline: SSE SSE2 SSE3 requested: |
| 2019-09-13 06:34:25 -0600 | asked a question | c++ matrix optimization which is look slower than optimized python numpy ? c++ matrix optimization which is look slower than optimized python numpy ? Hi I have below codes which 2X is slower th |