NVIDIA cuPhoton 加速科学图像分析
Faster Scientific Image Analysis with NVIDIA cuPhoton
NVIDIA 发布 cuPhoton，用于加速科学图像分析，解决天文望远镜、激光与 X 射线光源等高通量仪器产生的图像数据超出 CPU 流水线处理能力的问题。NVIDIA 指出瓶颈不在单个慢 kernel，而在从传感器原始数据读取、点扩散函数或探测器响应匹配到减去与归约的整条决策链路。
Observatories and telescopes, lasers and X-ray light sources, and other high-throughput instruments generate image data faster than CPU-bound pipelines can...
Observatories and telescopes, lasers and X-ray light sources, and other high-throughput instruments generate image data faster than CPU-bound pipelines can process it to support timely decisions. The computational bottleneck is rarely one slow kernel. It’s the whole path from data in the sensor to a decision: read the raw data, match point-spread functions or detector responses, subtract or reduce…
来源：NVIDIA Technical Blog · developer.nvidia.com