A reconfigurable arithmetic array for multimedia applications
FPGA '99 Proceedings of the 1999 ACM/SIGDA seventh international symposium on Field programmable gate arrays
Coarse grain reconfigurable architecture (embedded tutorial)
Proceedings of the 2001 Asia and South Pacific Design Automation Conference
Mapping of DSP Algorithms on the MONTIUM Architecture
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Design and Implementation of a Coarse-Grained Dynamically Reconfigurable Hardware Architecture
WVLSI '01 Proceedings of the IEEE Computer Society Workshop on VLSI 2001
A two-level reconfigurable architecture for digital signal processing
Microelectronic Engineering
PRADA: a high-performance reconfigurable parallel architecture based on the dataflow model
International Journal of High Performance Systems Architecture
Efficient resource sharing architecture for multistandard communication system
VLSI Design - Special issue on CAD for Gigascale SoC Design and Verification Solutions
Integration, the VLSI Journal
Hi-index | 0.00 |
Reconfigurable hardware has become a well-accepted option for implementing digital signal processing (DSP). Traditional devices such as field-programmable gate arrays offer good fine-grain flexibility. More recent coarse-grain reconfigurable architectures are optimized for word-length computations. We have developed a medium-grain reconfigurable architecture that combines the advantages of both approaches. Modules such as multipliers and adders are mapped onto blocks of 4-bit cells. Each cell contains a matrix of lookup tables that either implement mathematics functions or a random-access memory. A hierarchical interconnection network supports data transfer within and between modules. We have created software tools that allow users to map algorithms onto the reconfigurable platform. This paper analyzes the implementation of several common benchmarks, ranging from floating-point arithmetic to a radix-4 fast fourier transform. The results are compared to contemporary DSP hard-ware.