Title :
Improved-throughput networks of basic on-line arithmetic modules for DSP applications
Author :
Tenca, Alexandre F. ; Shantilal, Ajay C. ; Sinky, Mohammed H.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR, USA
Abstract :
On-line arithmetic modules were proposed as a way to explore parallelism in arithmetic operations at digit level. By using serial operators that always receive inputs and compute the outputs from most-significant to least-significant digits, on-line arithmetic makes it possible to overlap all arithmetic operations. However, on-line arithmetic modules have an intrinsic on-line delay that impacts the maximum throughput of networks using these modules. The problem is particularly serious for small precision calculation or deep-pipelined networks. This work presents a solution to the problem. Results of an actual implementation of the solution for some basic arithmetic operators are shown and demonstrate the benefits of the proposed approach. The developed modules are also tested within the framework of an image processing application.
Keywords :
digital arithmetic; pipeline processing; signal processing; arithmetic operations; arithmetic operators; deep-pipelined networks; digital signal processing; image processing; improved-throughput networks; intrinsic online delay; online arithmetic modules; serial operators; Arithmetic; Digital signal processing;
Conference_Titel :
Application-Specific Systems, Architectures and Processors, 2004. Proceedings. 15th IEEE International Conference on
Print_ISBN :
0-7695-2226-2
DOI :
10.1109/ASAP.2004.1342460