Hi, all. I am sorry that I am writing repeating these questions again. (performance compared to ~) I have some signal processing code written in MATLAB, and rewriting the code with Julia.
The signal processing function take about 1024 x 1024 floating number array as input called in loop about 100~1000 times. Here is core function of algorithm: MATLAB version: https://gist.github.com/moon6pence/3e60772943f206842d31 >0.16 sec per each call Julia version: https://gist.github.com/moon6pence/4b43c63cb4240b31ea10 >1.4 sec per each call Not only julia code is unusually slow, but MATLAB code is also unusually fast. (Naive C++ implementation of this code takes 100~200 sec, maybe MATLAB JIT compiler is doing very well in SIMD) I will dig up this julia code line-by-line to find which line takes much time. But before then, I want get this code checked if there is any mistake on code for performance. (or give me tips for vectorized code) Thanks.
