Projects per year
This paper presents a complete video fusion system with hardware acceleration and investigates its performance and energy optimization. The video fusion application is based on the Dual-Tree Complex Wavelet Transforms (DT-CWT). Video fusion combines information from different spectral bands into a single representation and advanced algorithms based on wavelet transforms are compute and energy intensive. In this work the transforms are mapped to a hardware accelerator using high-level synthesis tools for the FPGA resulting in an increase of performance of the system by a factor of 3. In a second stage the hardware engine is transformed with a set of tools and detector blocks that allow the CPU device to monitor and pre-detect timing failures in the FPGA fabric. The CPU device can control the voltage and frequency of the FPGA and obtain a new working point with reducing power requirements by approximately 70 % with an equivalent performance level. This results in an energy proportional computing system in which only the energy required to maintain a required level of performance is used.
|Title of host publication||Applied Reconfigurable Computing|
|Subtitle of host publication||12th International Symposium, ARC 2016 Mangaratiba, RJ, Brazil, March 22–24, 2016 Proceedings|
|Editors||Vanderlei Bonato, Christos Bouganis, Marek Gorgon|
|Number of pages||13|
|Publication status||Published - 13 Mar 2016|
|Event||12th International Symposium on Applied Reconfigurable Computing, ARC 2016 - Mangaratiba, Brazil|
Duration: 22 Mar 2016 → 24 Mar 2016
|Name||Lecture Notes in Computer Science|
|Publisher||Springer International Publishing|
|Conference||12th International Symposium on Applied Reconfigurable Computing, ARC 2016|
|Period||22/03/16 → 24/03/16|
- energy efficient
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- 2 Finished
Nunez-Yanez, J. L.
5/01/16 → 4/01/20
Nunez-Yanez, J. L.
1/11/13 → 30/04/17