Reputation: 733
I've got an application where I am processing images from a camera at around 20Hz. Each image is segmented into a matrix of regions, let's say 100 x 50 (for example). Each region is processed, resulting in a single floating point metric. I'm trying to create simple 2d plot for each region's data as it is created. So, on the screen would be a matrix layout of 500 (in this worse case example) plots/charts.
I'm currently processing the images without issue using managedCUDA and writing some CUDA kernels to take care of that. What I'm faced with now is trying to create a way to logically view all this data has it's coming in. Things I've considered:
Option 1 seems crazy to me (but I had a gpu-centric friend suggest it).
Option 2 seems like I'd have to learn all the unnessary 3D overhead of D3D or OpenGL just to draw 2D plots.
Option 3 and 4 probably have the most appeal to me, but I'm worried about performance.
So just looking for advice before I charge off in one of these directions.
Upvotes: 1
Views: 400
Reputation: 10193
I thoroughly recommend SciChart if you have the money. We develop scientific software that need to process large amounts of data being received from external devices, and have found SciChart to be excellent (features and performance). And no I'm not affiliated to them in any way!
Like all charting components it takes a while to get your head around the many features, but it's worth it. If you download their trial it includes a load of samples, including demos of real-time performance.
Upvotes: 2