PUMA publications for /tag/Parallelisation%20GPUFri Jan 29 09:34:55 CET 2016New Horizons in Web Based LearningDecember21-29LNCSOptimization of industrial Neural Network simulators for GPGPUs76972011Back CUDA GPGPU GPU HLRS Network Neural Parallelisation Propagation SCOPE myown This paper introduces the porting of an industrial neural network simulator onto GPUs used in a tool-chain to sort massive amounts of E-mails and other textual data. Compared to other previous work, all steps are being executed on the GPU, achieving overall up to 33× speedup without using any cuBLAS functionality. All the time-consuming routines have been ported onto the GPU, i.e. the training-, the simulation- and the verification-phases, the training being the most time-consuming. It is planned to include these GPU-kernels into the product for special costumer's demands.Parallelisation GPUCommunity for tag(s) Parallelisation GPU