ITK/Release 4/GPU Acceleration/Tcon-2010-11-22: Difference between revisions
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*** Video : 10Mb images, 30~100 frames per second. | *** Video : 10Mb images, 30~100 frames per second. | ||
* CUDA vs OpenCL ? | * CUDA vs OpenCL ? | ||
** OpenCL is better for asynchronous multi-GPU programming. | |||
Revision as of 18:23, 22 November 2010
Attendees
- Won Ki - Harvard University
- Joe Stem - NVIDIA
- Kimberly Powell - NVIDIA
- Dennis Sessanna - NVIDIA
- Luis Ibanez - Kitware Inc.
Topics
Overview
- Quick summary of ITKv4 effort (Luis Ibanez)
- Summary of ITK-GPU approach (Won Ki)
Questions
- Level of abstraction ?
- Joe suggests to look at OpenCV
- Expose the interactions with the GPU
- Most GPU programmers do things synchronously (so they unfortunately do too many data transfers, and don't get full benefit from the GPU).
- Joe suggests to look at OpenCV
- Joe asked for typical Use Cases
- We listed:
- Radiology : 100Mb per image (512x512x200)
- Microscopy : 10Gb
- Video : 10Mb images, 30~100 frames per second.
- We listed:
- CUDA vs OpenCL ?
- OpenCL is better for asynchronous multi-GPU programming.
