面向关键可靠应用的智能异构计算技术研究

Hanguang Mi, Shixian Li, Xiongbo Zhao, Hui Zhang, Hui Zhou, Jicheng Lu
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引用次数: 0

摘要

智能功能对计算能力要求较高,部署过程较为复杂。在功耗、尺寸、重量受限的场景下,无论是CPU还是ASCI都无法满足计算能力的要求,单块FPGA难以实现复杂的计算需求。进一步,对严格的进程控制和冷启动时间提出了更高的要求,对gpu等加速设备的使用与操作系统(OS)相结合提出了更高的要求。我们开发了一个异构计算平台的原型,包括开发方法。对比FPGA方案的性能指标,单幅图像的平均计算时间从91.5ms/张提高到13.7ms/张,提高了668%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on Intelligent Heterogeneous Computing Technology for Reliable-critical Application
Intelligent functions need higher compute ability, and the deployment process is more complicated. In scenarios where power consumption, size, and weight are limited, neither CPU nor ASCI cannot meet computing power requirements, and complex computing requirements are difficult to implement with a single FPGA. Further, on strict process control and cold start time put forward higher requirements for the use of accelerated devices such as GPUs with operating system (OS). We developed a prototype of a heterogeneous computing platform including development methods. Comparing the performance indicators of FPGA solution, the average time to calculate a single image was increased from 91.5ms/picture to 13.7ms/picture, an increase in the ratio 668%.
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