Distributed GPU Data Processing with Dask+cuDF
Scaling GPU data pipelines across multiple GPUs.
A showcase of high-performance computing—unlocking the full potential of NVIDIA GPUs on the CUDA platform.
Scaling GPU data pipelines across multiple GPUs.
Applying filters to video streams using CUDA Python.
Benchmarking matrix multiplication (CPU vs. GPU).
Accelerate DNA sequence alignment or variant calling.
Using GPU for NLP preprocessing and inference.
Applying a Gaussian blur to images using cuPy or Numba.
Writing custom kernels for CNN layers in Python.
Implementing and benchmarking K-Means on GPU.
Comparing CPU and GPU performance for vector addition.