设计用于图像处理应用的高性能,准确和近似的达达树乘法器
Aqib Amin Rather1, Burhan Khurshid2, Shoeib Amin Banday3
1Department of ECE, National Institute of Technology, Srinagar, Jammu and Kashmir, India.
Scientific reports
|November 21, 2025
概括
本研究介绍了FPGA的高效近似计算乘数,将精度换成性能. 这种新的设计显著提高了功率延迟区域产品和图像处理质量,特别是在医学成像方面.
科学领域:
- 计算机工程 计算机工程
- 数字系统设计设计 数字系统设计
- 估计计算 估计计算
背景情况:
- 大致计算为提高效率提供了准确性和性能之间的权衡.
- 高效的乘数架构对于资源有限的FPGA平台至关重要.
- 现有的乘法器可能无法满足对高性能,低资源应用的需求.
研究的目的:
- 为FPGAs设计和实施高效的近似乘数架构.
- 为了提高性能和资源利用,利用近似的计算原理.
- 评估对像医疗成像等对错误有弹性的应用程序的拟议倍数.
主要方法:
- 使用Dadda算法的FPGA实现准确和近似的乘法单位.
- 新的部分产品减少技术,以尽量减少资源和关键路径延迟.
- 使用功率延迟面积积积 (PDAP) 和峰值信号噪声比 (PSNR) 的性能评估.
主要成果:
- 性能最好的近似8x8乘法器在PDAP中比Xilinx精确和现有的近似乘法器实现了28%和37%的改进.
- 在不同模式的图像处理过程中观察到的PSNR显著改善.
- 在医疗保健相关的图像处理任务中表现出卓越的性能.
结论:
- 拟议的近似乘数为传统设计提供了一个资源高效的替代方案.
- 这种新技术有效地减少了FPGAs的资源利用和关键路径延迟.
- 这些乘数显示出强大的应用潜力,需要对错误有弹性,特别是在医学成像中.
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