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About Infuse AI into Your Enterprise: IBM全球杰出工程师 IBM AI系统研究技术总监 林咏华 (IBM研究院)
Here are the key steps to automatically generate accelerator for deep learning: 1. Use AI Inference Engine tool to translate trained Caffe CNN model into Verilog code describing the network architecture and computations. 2. Synthesize the Verilog code into FPGA bit file containing the configuration for implementing the network on FPGA chip. 3. Download the generated FPGA bit file to edge device with FPGA for deploying and running the deep learning model locally with high efficiency. This process shields developers from needing expertise in both deep learning and low-level FPGA programming. It automatically maps trained models to efficient hardware implementations on edge to enhance productivity for AI deployment from cloud to devices.
Detailed Information
| Author: | ['Michelle Lei'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 24 |
| Language: | English |
| Format: | |
| Price: | FREE |
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