Download How To Make Your Own Deep Learning Accelerator Chip - by Manu Suryavansh - Towards Data Science PDF Free - Full Version
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About How To Make Your Own Deep Learning Accelerator Chip - by Manu Suryavansh - Towards Data Science
The document describes how to design a basic deep learning inference accelerator chip. It discusses the key components needed, including a matrix multiplication unit, SRAM memory close to the compute unit to reduce data movement/energy, interconnect fabric between components, interfaces to external memory and processors, and a controller. It also provides examples of the architectures of existing chips from companies like Habana, Google, Nvidia, and others to illustrate common designs. The goal is to provide a brief overview of designing a simple 8-bit inference chip rather than a comprehensive process typically involving large teams.
Detailed Information
| Author: | ['Pramod Reddy R'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 18 |
| Language: | English |
| Format: | |
| Price: | FREE |
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