Array mapping in behavioral synthesis
ISSS '95 Proceedings of the 8th international symposium on System synthesis
Journal of VLSI Signal Processing Systems - Special issue on VLSI on custom computing technology
A dynamically reconfigurable adaptive viterbi decoder
FPGA '02 Proceedings of the 2002 ACM/SIGDA tenth international symposium on Field-programmable gate arrays
The use of configurable computing for computational kernels in scientific simulations
Future Generation Computer Systems
The use of configurable computing for computational kernels in scientific simulations
Future Generation Computer Systems
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Journal of Signal Processing Systems
Mesh routing topologies for multi-FPGA systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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Abstract: This paper compares software and FPGA-based hardware implementations of two applications. The first application uses hidden Markov models, and the second application is a fuzzy controller. Hidden Markov modeling is used for temporal pattern recognition and speech recognition in particular. Both applications are accelerated when implemented in FPGA-based hardware, but this acceleration is obtained by using different algorithms than those used in software implementations. These different algorithms produce slightly different outputs; therefore both solution quality and performance must be evaluated to compare hardware and software implementations. The experience of designing these applications has implications for hardware/software codesign tools and for the migration of existing software applications to FPGA-based hardware.