Figure 5.

(A) The processing times for the single-threaded (dotted line), multi-threaded (dashed line), and GPU (solid line) matrix multiplication algorithms for time-series data with lengths of 25, 120, and 240 samples, which are equivalent to 50 ms of data at 512, 2400, and 4800 Hz, respectively. (B) The ratios of matrix-multiplication processing times for single-threaded to multi-threaded, single-threaded to CUDA, and multi-threaded to CUDA implementations. The results for input matrices with 25 (dotted line), 120 (dashed line), and 240 (solid line) samples are shown. A value exceeding 1 indicates that the processing time for the first implementation in the ratio exceeds that of the second implementation (e.g., if Single/Threaded >1, then the threaded version is faster). The spatial filter is a square matrix with the number of rows and columns each equal to the number of channels.