Hello everyone. My name is Victor Oliveira. I'm a master's student at the School of Electrical and Computer Engineering - University of Campinas, Brazil. I work with Image Processing and Machine Learning and I've been using GPUs (CUDA) in my work since 2009. More recently, we've migrated our projects to OpenCL, which has given me more experience with GPU programming. I have a strong background in C/C++ and Python. Also, I've been using GEGL for some time in my projects. I noticed a while ago that there is a branch [http://git.gnome.org/browse/gegl/tree?h=gsoc2009-gpu] that wasn't merged in GEGL's main tree. If I understood it correctly, this specific branch is able to do pixelwise operations using OpenGL shaders and automatic memory management beetween the cpu and gpu. My idea is to use this memory management scheme to allow gegl operations with OpenCL. I've already presented this idea in #gegl without further details and I'd like to discuss it here. The first step would be adapting the existing code and re-implementing the pixelwise operations in OpenCL. Meanwhile, we have to remember that OpenCL can be compiled to run in the cpu also, so we don't need to make memory transfers in this case. After this, we can make more complex operations, like convolutions, color corrections, etc. I think the objective is to do as many operations as possible in the gpu, in order to avoid costly memory transfers using PCIe (although some new architectures like Fusion share the same memory space). So, what do you think about this project? I'd like to receive as many suggestions as possible :) Also, if you guys think this project isn't a good idea, I'm willing to port GIMP plugins to GEGL operations. Let's see what happens here :) _______________________________________________ Gimp-developer mailing list Gimp-developer@xxxxxxxxxxxxxxxxxxxxxx https://lists.XCF.Berkeley.EDU/mailman/listinfo/gimp-developer
