Compiling multi-dimensional data streams into distributed DSP ASIC memory
Jan Vanhoof, Ivo Bolsens, Hillarie Man · 2002
The authors demonstrate that, next to allocation and scheduling of data path operations, efficient storage schemes and memory access are crucial in DSP (digital signal processor) ASIC (application-specific integrated circuit) design. For complex, medium throughput DSP applications, the authors have identified a strategy and important optimization tasks for compiling multidimensional data structures into distributed dual-port register files and single-port SRAM (static random-access memories). These techniques have been implemented in the Cathedral-II silicon compiler. The applicability of the proposed strategy has been demonstrated during the design of an 800 bit/s vocoder. Window computation reduced 23833 entries of 56 arrays to 932 locations.>