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What is Neural Network Performance Analysis about?

This thesis analyzes the performance and power consumption of neural networks across various platforms, including CPU, GPU, TPU, and FPGA. The findings indicate that FPGA accelerators significantly outperform high-end GPUs in speed and efficiency, while the Apple M1 SoC offers the best performance per Euro. Ultimately, the research concludes that FPGA is the most effective accelerator for neural networks in heterogeneous systems.

Author

ridwangsn

Language

EN