Artificial Intelligence Hardware Design 1st Edition by Albert Chun-Chen Liu – Ebook PDF Instant Download/DeliveryISBN: 1119810477, 9781119810476
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Product details:
ISBN-10 : 1119810477
ISBN-13 : 9781119810476
Author: Albert Chun-Chen Liu
In Artificial Intelligence Hardware Design: Challenges and Solutions, distinguished researchers and authors Drs. Albert Chun Chen Liu and Oscar Ming Kin Law deliver a rigorous and practical treatment of the design applications of specific circuits and systems for accelerating neural network processing. Beginning with a discussion and explanation of neural networks and their developmental history, the book goes on to describe parallel architectures, streaming graphs for massive parallel computation, and convolution optimization.
Artificial Intelligence Hardware Design 1st Table of contents:
1 Introduction
1.1 Development History
1.2 Neural Network Models
1.3 Neural Network Classification
1.4 Neural Network Framework
1.5 Neural Network Comparison
Exercise
References
2 Deep Learning
2.1 Neural Network Layer
2.2 Deep Learning Challenges
Exercise
References
3 Parallel Architecture
3.1 Intel Central Processing Unit (CPU)
3.2 NVIDIA Graphics Processing Unit (GPU)
3.3 NVIDIA Deep Learning Accelerator (NVDLA)
3.4 Google Tensor Processing Unit (TPU)
3.5 Microsoft Catapult Fabric Accelerator
Exercise
References
4 Streaming Graph Theory
4.1 Blaize Graph Streaming Processor
4.2 Graphcore Intelligence Processing Unit
Exercise
References
5 Convolution Optimization
5.1 Deep Convolutional Neural Network Accelerator
5.2 Eyeriss Accelerator
Exercise
References
6 In‐Memory Computation
6.1 Neurocube Architecture
6.2 Tetris Accelerator
6.3 NeuroStream Accelerator
Exercise
References
7 Near‐Memory Architecture
7.1 DaDianNao Supercomputer
7.2 Cnvlutin Accelerator
Exercise
References
8 Network Sparsity
8.1 Energy Efficient Inference Engine (EIE)
8.2 Cambricon‐X Accelerator
8.3 SCNN Accelerator
8.4 SeerNet Accelerator
Exercise
References
9 3D Neural Processing
9.1 3D Integrated Circuit Architecture
9.2 Power Distribution Network
9.3 3D Network Bridge
9.4 Power‐Saving Techniques
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