@inproceedings{a34f4825f53c438983c6447a086a6942,
title = "Parallel reconfigurable computing and its application to hidden Markov model",
abstract = "Parallel processing techniques are increasingly found in reconfigurable computing, especially in digital signal processing (DSP) applications. In this paper, we design a parallel reconfigurable computing (PRC) architecture which consists of multiple dynamically reconfigurable computing units. The hidden Markov model (HMM) algorithm is mapped onto the PRC architecture. First, we construct a directed acyclic graph (DAG) to represent the HMM algorithms. A novel parallel partition approach is then proposed to map the HMM DAG onto the multiple DRC units in a PRC system. This partitioning algorithm is capable of design optimization of parallel processing reconfigurable systems for a given number of processing elements in different HHM states.",
keywords = "FPGA, HMM, parallel processors, partitioning algorithm, reconfigurable processing",
author = "A. Paul and Jiang, {Yung Chuan} and Jechang Jeong",
year = "2010",
doi = "10.1049/cp.2010.0542",
language = "English",
isbn = "9781849192088",
series = "IET Conference Publications",
number = "568 CP",
pages = "82--91",
booktitle = "IET International Conference on Frontier Computing. Theory, Technologies and Applications",
edition = "568 CP",
note = "IET International Conference on Frontier Computing. Theory, Technologies and Applications ; Conference date: 04-08-2010 Through 06-08-2010",
}