Abstract
This lecture overviews GPU and Multicore CPU Architectures and Computing that has many applications in GPU computing and Deep Neural Networks. It covers the following topics in detail: CPU vs GPU, GPU microarchitecture, Pascal and Turing key features, Tensor cores, NVIDIA Jetson Xavier, Parallel algorithm execution, CUDA Optimization.
CPU and GPU architectures.
Tensor cores.
GPU and Multicore CPU Architectures and Computing v2.7 - Summary