文件列表:

kernel.cu (4160, 2020-10-23)
main.cpp (392, 2020-10-23)
parameters.h (388, 2020-10-23)
pearsonCorellation.h (71, 2020-10-23)
structures.h (927, 2020-10-23)
utils.cpp (995, 2020-10-23)
utils.h (192, 2020-10-23)

# GPU-accelerated Pearson corellation A simple GPU based Pearson correlation coefficient finder made using CUDA. ## What is a Pearson correlation? A Pearson correlation is a statistic which measures a linear correlation of a set of points (x,y). The domain of this function is **<-1, 1>**, where: - 1 indicates a positive correlation - 0 indicates no correlation - -1 indicates a negative correlation ## Formula A mathematical formula used to calculate the coefficient:
*Image courtesy of Wikipedia* ## How does the program work? The program calculates in parallel each of the components of above formula. Every sum is calculated and reduced using GPU. This is the most time-demanding process and it's easy to make it parallel. Then, CPU performs a "finishing" process (summing output values of every GPU block) and substitutes every component into the final formula. ## Example ### Input | X | Y | | -- | -- | | 43 | 99 | | 21 | 65 | | 25 | 79 | | 42 | 75 | | 57 | 87 | | 59 | 81 | ### Output ``` (sigma)xi * yi = 20485.000000 (sigma)xi^2 = 11409.000000 (sigma)yi^2 = 11409.000000 (sigma)xi = 247.000000 (sigma)yi = 486.000000 r = 0.52***09 ```

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