Abstract: With the continuous development of large-scale integrated circuits technology,vector DSPs incorporating SIMD,VLIW and other instruction parallel processing technologies have gained more and more attention and applications in the field of high-performance computing.Adapting different kinds of algorithm function libraries becomes one of the key challenges for vector DSPs.Only by reducing the input of repetitive work in programming and concentrating more on code optimization based on vector DSP architecture and hardware resources can the application development efficiency be effectively improved.Taking into account the amount of data involved in the computation in vector DSP codes,we proposed an automatic generation method for efficient code generation based on template-based array computation,which implements automated dynamic cache allocation,data rearrangement for discontinuous data accesses,and optimization of scalar instructions,so that the generated code could use the dedicated vector resources of the processor.Experimental results show that using the technique to generate code substantially improves the efficiency of obtaining relevant function code,and that the average performance of the generated vector computation assembly code reaches about 75% of the average performance of handwritten assembly code,and has an average speedup ratio of 8.7 times compared to the performance of scalar assembly code on average.

Key words: High performance computing, Code generation, Automatic vectorization, Vector DSP