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DNN Benchmarking

This project benchmarks deep neural networks (DNNs) using PyTorch on an Intel-based CPU and the NVIDIA T4 GPU. The goal is to evaluate and compare the performance of these hardware platforms.

Overview

In this project, we:

  • Benchmark DNN models on an Intel-based CPU and the NVIDIA T4 GPU.
  • Analyze performance metrics such as latency and throughput.
  • Compare the results to understand the efficiency of each hardware platform.

Project Structure

  • benchmark.ipynb: Jupyter notebook containing the benchmarking code and results.

Getting Started

To get started with the project, follow these steps:

  1. Clone the repository:
    git clone https://github.com/yourusername/DNN-benchmarking.git
  2. Open the Jupyter notebook:
    jupyter notebook benchmark.ipynb

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