Energy-Efficient 360-Degree Video Rendering on FPGA via Algorithm-Architecture Co-Design

Energy-Efficient 360-Degree Video Rendering on FPGA via Algorithm-Architecture Co-Design
复制标题

通过算法架构协同设计在 FPGA 上进行节能 360 度视频渲染

DOI:
10.1145/3373087.3375317
复制
发表时间:
2020
期刊:
FPGA
影响因子:
--
通讯作者:
Zhu, Yuhao
Zhu, Yuhao
中科院分区:
--
文献类型:
--
作者:
Sun, Qiuyue;Taherin, Amir;Siatitse, Yawo;Zhu, Yuhao

文献摘要

参考文献

被引文献

相似文献

360°全景视频提供身临其境的虚拟现实体验。然而,渲染 360° 视频会在客户端设备上消耗过多的能量。 FPGA是提高能效的理想卸载目标。然而,处理算法的简单实现会导致内存占用过多,从而抵消能源效益。在本文中,我们提出了一种算法架构协同设计的系统,该系统可显着降低 VR 视频处理的片上内存需求,从而实现 FPGA 卸载。评估表明,与当今现成的 VR 视频渲染系统相比,我们的系统能够在不损失性能的情况下实现显着的能耗降低。
360° panoramic video provides an immersive Virtual Reality experience. However, rendering 360° videos consumes excessive energy on client devices. FPGA is an ideal offloading target to improve the energy-efficiency. However, a naive implementation of the processing algorithm would lead to an excessive memory footprint that offsets the energy benefit. In this paper, we propose an algorithm-architecture co-designed system that dramatically reduces the on-chip memory requirement of VR video processing to enable FPGA offloading. Evaluation shows that our system is able to achieve significant energy reduction with no loss of performance compared to today's off-the-shelf VR video rendering system.
DOI: 10.1145/2601097.2601174
发表时间: 2014-07-01
影响因子: 6.2
作者:
Hegarty, James;Brunhaver, John;Hanrahan, Pat
通讯作者: Hanrahan, Pat
DOI: 10.1109/hpca.2016.7446054
发表时间: 2016-03
期刊: 2016 IEEE International Symposium on High Performance Computer Architecture (HPCA)
影响因子: --
作者:
Matthew Halpern;Yuhao Zhu;V. Reddi
通讯作者: Matthew Halpern;Yuhao Zhu;V. Reddi
TN-40-07:计算 DDR 4 SDRAM 的内存功率
DOI: --
发表时间: 2018
期刊:
影响因子: --
作者:
Eerika Keskitalo;J. Salonen;H. Nurmi;H. Vähänikkilä;R. Kaarteenaho
通讯作者: R. Kaarteenaho
语义感知虚拟现实视频流
DOI: 10.1145/3265723.3265738
发表时间: 2018
期刊: Proceedings of the 9th Asia-Pacific Workshop on Systems
影响因子: --
作者:
Yue Leng;Chi;Qiuyue Sun;Jian Huang;Yuhao Zhu
通讯作者: Yuhao Zhu
DOI: 10.1109/mm.2020.2985692
发表时间: 2020
期刊: IEEE Micro
影响因子: 3.6
作者:
Yue Leng;Jian Huang;Chi;Qiuyue Sun;Yuhao Zhu
通讯作者: Yuhao Zhu