Video Up-scaling is a hotspot in TV display area; as an important brunch of Video Up-scaling, Texture-Based Video Up-scaling (TBVU) method shows great potential of hardware implementation. Coarse-grained Reconfigurable Architecture (CGRA) is a very promising processor; it is a parallel computing platform which provides high performance of hardware, high flexibility of software, and dynamical reconfiguration ability. In this paper we propose an implementation of TBVU on CGRA. We fully exploit the characters of TBVU and utilize several techniques to reduce memory I/O operation and total execution time. Experimental results show that our work can greatly reduce the I/O operation and the execution time compared with the non-optimized ones. We also compare our work with other platforms and find great advantage in execution time and resource utilization rate.
Rui SHI
Tsinghua University
Shouyi YIN
Tsinghua University
Leibo LIU
Tsinghua University
Qiongbing LIU
Tsinghua University
Shuang LIANG
Tsinghua University
Shaojun WEI
Tsinghua University
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Rui SHI, Shouyi YIN, Leibo LIU, Qiongbing LIU, Shuang LIANG, Shaojun WEI, "The Implementation of Texture-Based Video Up-Scaling on Coarse-Grained Reconfigurable Architecture" in IEICE TRANSACTIONS on Information,
vol. E98-D, no. 2, pp. 276-287, February 2015, doi: 10.1587/transinf.2014RCP0010.
Abstract: Video Up-scaling is a hotspot in TV display area; as an important brunch of Video Up-scaling, Texture-Based Video Up-scaling (TBVU) method shows great potential of hardware implementation. Coarse-grained Reconfigurable Architecture (CGRA) is a very promising processor; it is a parallel computing platform which provides high performance of hardware, high flexibility of software, and dynamical reconfiguration ability. In this paper we propose an implementation of TBVU on CGRA. We fully exploit the characters of TBVU and utilize several techniques to reduce memory I/O operation and total execution time. Experimental results show that our work can greatly reduce the I/O operation and the execution time compared with the non-optimized ones. We also compare our work with other platforms and find great advantage in execution time and resource utilization rate.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2014RCP0010/_p
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@ARTICLE{e98-d_2_276,
author={Rui SHI, Shouyi YIN, Leibo LIU, Qiongbing LIU, Shuang LIANG, Shaojun WEI, },
journal={IEICE TRANSACTIONS on Information},
title={The Implementation of Texture-Based Video Up-Scaling on Coarse-Grained Reconfigurable Architecture},
year={2015},
volume={E98-D},
number={2},
pages={276-287},
abstract={Video Up-scaling is a hotspot in TV display area; as an important brunch of Video Up-scaling, Texture-Based Video Up-scaling (TBVU) method shows great potential of hardware implementation. Coarse-grained Reconfigurable Architecture (CGRA) is a very promising processor; it is a parallel computing platform which provides high performance of hardware, high flexibility of software, and dynamical reconfiguration ability. In this paper we propose an implementation of TBVU on CGRA. We fully exploit the characters of TBVU and utilize several techniques to reduce memory I/O operation and total execution time. Experimental results show that our work can greatly reduce the I/O operation and the execution time compared with the non-optimized ones. We also compare our work with other platforms and find great advantage in execution time and resource utilization rate.},
keywords={},
doi={10.1587/transinf.2014RCP0010},
ISSN={1745-1361},
month={February},}
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TY - JOUR
TI - The Implementation of Texture-Based Video Up-Scaling on Coarse-Grained Reconfigurable Architecture
T2 - IEICE TRANSACTIONS on Information
SP - 276
EP - 287
AU - Rui SHI
AU - Shouyi YIN
AU - Leibo LIU
AU - Qiongbing LIU
AU - Shuang LIANG
AU - Shaojun WEI
PY - 2015
DO - 10.1587/transinf.2014RCP0010
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E98-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2015
AB - Video Up-scaling is a hotspot in TV display area; as an important brunch of Video Up-scaling, Texture-Based Video Up-scaling (TBVU) method shows great potential of hardware implementation. Coarse-grained Reconfigurable Architecture (CGRA) is a very promising processor; it is a parallel computing platform which provides high performance of hardware, high flexibility of software, and dynamical reconfiguration ability. In this paper we propose an implementation of TBVU on CGRA. We fully exploit the characters of TBVU and utilize several techniques to reduce memory I/O operation and total execution time. Experimental results show that our work can greatly reduce the I/O operation and the execution time compared with the non-optimized ones. We also compare our work with other platforms and find great advantage in execution time and resource utilization rate.
ER -