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Classroom Contents
Accelerating Real-Time Video Analytics on a Heterogeneous CPU and FPGA Platform
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- 1 Why Real-Time ?
- 2 Real-Time Insights
- 3 Existing Real-Time Analytics Solution
- 4 Real-Time Video Analytics
- 5 Main Phases of Video Analytics Pipeline
- 6 Architecture of CPU based Pipeline
- 7 Inference Phase
- 8 From DStreams to Structured Streaming
- 9 Custom Connector: reading from custom data source
- 10 Code Snippet
- 11 Deep Learning Inference
- 12 Performance of CPU based solution
- 13 Challenges with existing software-based solutions
- 14 Hardware Accelerators - Alternate Solution
- 15 Heterogenous CPU+FPGA based pipeline
- 16 Performance of CPU+FPGA based solution
- 17 Distributed System Configuration
- 18 Demo Application
- 19 Summary
- 20 Megh Solution Stack: reduces complexity of programming FPGA
