For my project, I have to make lot of matrix operation (mul, transpose, inverse). Concerning matrix mul, rather than develop my own function, I trying to use DSPlib function (DSPF_sp_mat_mul). But this function work only with : "All r1, c1, c2 are assumed to be multiple of 2 and >=2".
I need to make some (4x3 * 3x1) or (3x3 * 3x3) matrix mul for exemple. Can I use some optimize functions from DSPlib ? Or I need to develop my own function ?
I work on 6678 DSP.
Thanking you in advance
you need to modify original code of DSPF_sp_mat_mul (use it for example).
1. make decomposition of matrix-multiply (3x3) A*B = a01*b01+a02*b02+a03*b03,........ , then look for elements of matrix A and B, which are being used at same time in different operands (main focus - one load from memory == few computations, due to limitations of block .D)
for example: max. performance of complex dotp is about 1.03 cycles per 1 complex multiply
max. performance of complex mat_mul is about 0.58 cycles per 1 complex multiply
2. in the loop perform computations for your sub-matrix
i suggest it gonna take (theory) about 3-4 dsp cycles per one matrix mul 3x3 x 3x3 (3*3*3=27 multiplications, 18 additions)
DSP can perform 8 float mults and 8 float adds => 27/8 = 3.375
Thank you for your answer.
So I can't use some DSPlib, I must write my own code ?
I am going to looking for DSPF_sp_mat_mul source code.
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