GPU Computing Fundamentals

Why GPUs?

GPUs excel at parallel computation, making them ideal for the matrix operations in deep learning.

CUDA Basics

CUDA is NVIDIA's parallel computing platform:

import torch

# Check GPU availability
print(torch.cuda.is_available())
print(torch.cuda.device_count())

# Move tensor to GPU
x = torch.randn(1000, 1000).cuda()

Memory Management

GPU memory is limited. Tips for efficient usage:

• Use mixed precision training
• Gradient checkpointing
• Batch size tuning