Print PDF Looking around in our code and on our intranet, I found lots of great and unique solutions to get the most performance out. Ofcourse we cannot share all of those, but there are some code-snippets that just have to get out.
FPGA Based Implementation of Deep Neural Networks Using On-chip Memory Only | Jinhwan Park, Wonyong Sung | Computer science, Deep learning, FPGA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX Titan Black...
Workload distribution and balancing in FPGAs and CPUs with OpenCL and TBB | Rafael Asenjo, Angeles Navarro, Andres Rodriguez, Jose Nunez-Yanez | Computer science, FPGA, Heterogeneous systems, nVidia, nVidia Quadro K600, OpenCL...
Portable Programming Models for Heterogeneous Platforms | Deepak Majeti | ATI, ATI Radeon HD 5970, ATI Radeon HD 7660, Computer science, Heterogeneous systems, nVidia, OpenCL, Package, Tesla M2050, Thesis...
StreamComputing launched an educational initiative this week that aims to get more developers to study and use OpenCL in their projects. Within this project, up to 20 collaborators will port as many GEGL operations to OpenCL as possible.
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