Figure 1: CUDA 9 provides a preview API for programming Tesla V100 Tensor Cores, providing a huge boost to mixed-precision matrix arithmetic for deep learning.

About Mark Harris
Mark is an NVIDIA Distinguished Engineer working on RAPIDS. Mark has over twenty years of experience developing software for GPUs, ranging from graphics and games, to physically-based simulation, to parallel algorithms and high-performance computing. While a Ph.D. student at The University of North Carolina he recognized a nascent trend and coined a name for it: GPGPU (General-Purpose computing on Graphics Processing Units).
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