A Vectorization of FIR Filter Supporting Arbitrary Coefficients Length and Data Types
Haiyan Chen · Dianzi xuebao · 2013
The Vectorization of algorithm mapping for vector processors is a critical issue.This paper presents a vectorization of FIR filter supporting any different coefficients length and data types,in which the FIR filter computation is divided into N-step(length of coefficients)vector multiply and accumulate operations,vector multiply and accumulate operations are executed in parallel by all vector processing elements(VPEs),and all vector multiply and accumulate operations to calculate single output are completed at the same VPE,the number of VPEs outputs will be calculated at once loop.Experimental results on YHFT-Matrix show that the vectorization of FIR filter achieves very efficient performance and speedup.