OpenCL Opens Doors to Deep Learning Training on FPGA
Hardware and device makers are in a mad dash to create or acquire the perfect chip for performing deep learning training and inference. While we have yet to see anything that can handle both parts of the workload on a single chip with spectacular results (the Pascal general GPUs are the closest thing yet, with threats coming from Intel/Nervana in the future), there is promise for FPGAs to find inroads.
So far, most of the work we have focused on for FPGAs and deep learning has centered more on the acceleration of inference versus boosting training times and accuracy …
OpenCL Opens Doors to Deep Learning Training on FPGA was written by Nicole Hemsoth at The Next Platform.