Artificial Intelligence Hardware Design : Challenges and Solutions / Albert Chun-Chen Liu, Oscar Ming Kin Law
Publication year: 2021
: 1119810450
Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field. A thorough introduction to neural networks and neural network development history, as well as Convolutional Neural Network (CNN) models Explorations of various parallel architectures, including the Intel CPU, Nvidia GPU, Google TPU, and Microsoft NPU, emphasizing hardware and software integration for performance improvement Discussions of streaming graph for massive parallel computation with the Blaize GSP and Graphcore IPU An examination of how to optimize convolution with UCLA Deep Convolutional Neural Network accelerator filter decomposition
: Computer Science, Artificial Intelligence, Neural Networks, Deep Learning, Streaming Graph Theory, Convolution Optimization, In-Memory Computation, Near-Memory Architecture, Network Sparsity, 3D Neural Processing
