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2017 GTC San Jose

Cedric Nugteren

GPU / deep learning specialist, TomTom

Speaker Bio

Cedric Nugteren lives and breathes GPU technology. Cedric ported image processing apps to CUDA during his M.S. studies as early as 2008 and received his Ph.D. in 2014 after publishing 15 peer-reviewed GPU-related articles. He interned at ARM's Mali GPU compiler group in 2012 and NVIDIA's cuFFT team in 2014. After his Ph.D., he worked as a GPU-expert at the Dutch supercomputer center and as a computer vision R&D performance engineer at Blippar. Currently he uses deep learning and GPUs for autonomous driving and HD-mapping at TomTom in Amsterdam. His free time is also well spent: he works on a tuned C++11 version of the OpenCL BLAS library with half-precision FP16 support.

Speaker Sessions