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- AI Engine Development
- Creating the AI Engine graph and kernels, library use, simulation debugging and profiling, and algorithm development. Also includes the integration of the PL and AI Engine kernels.
- Board System Design
- Designing a PCB through schematics and board layout. Also involves power, thermal, and signal integrity considerations.
- Embedded Software Development
- Creating the software platform from the hardware platform and developing the application code using the embedded CPU. Also covers XRT and Graph APIs.
- Hardware, IP, and Platform Development
- Creating the PL IP blocks for the hardware platform, creating PL kernels, functional simulation, and evaluating the AMD Vivado™ timing, resource use, and power closure. Also involves developing the hardware platform for system integration.
- Machine Learning and Data Science
- Importing a machine learning model from a PyTorch, TensorFlow, or other popular framework onto AMD Vitis™ AI, and then optimizing and evaluating its effectiveness.
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- Identifying the components, performance, I/O, and data transfer requirements at a system level. Includes application mapping for the solution to PS, PL, and AI Engine.
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- Integrating and validating the system functional performance, including timing, resource use, and power closure.
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