In current reconfigurable compiling approach for solving affine subscript operations

the automatic generated feeding memory system is not optimal

especially to support an iteration pipeline structure.This paper presents a parameterized parallel memory template to mine parallelism and reusability of data

which is considered to address the lack of such aspect in reconfigurable compilers at hand.According to the analysis of characteristics of data access to affine subscript arrays in pipeline iteration

our template configures alternative sub-structures such as parallel multi-bank memory

sequential access memory

RAW Buffer and Smart Buffer.Furthermore

in phase of calculating parameter values to fill the template

the memory data dependence graph method is used

in which approach the flexibility of way to create memory structure is kept.The experimental result shows that compared with related works

the compiler can generate reconfigurable hardware performing a higher execution speed with less resources usage by employ the proposed memory template.