NVIDIA cuPhoton 加速科学图像分析
Faster Scientific Image Analysis with NVIDIA cuPhoton
NVIDIA 推出 cuPhoton，用于加速科学图像分析流程。天文台、望远镜、激光与 X 射线光源等高通量仪器产生的图像数据，已快于 CPU 流水线的处理速度，瓶颈往往不在单个 kernel，而在从传感器原始数据到决策的整条路径，包括读取原始数据、匹配点扩散函数或探测器响应等环节。
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 Developer Blog · developer.nvidia.com