pinned-memory

There are 0 repository under pinned-memory topic.

/ MNIST-Classification
The MNIST classification problem is a fundamental machine learning task that involves recognizing handwritten digits (0- 9) from a dataset of 70,000 grayscale images (28x28 pixels each). It serves as a benchmark for evaluating machine learning models, particularly neural networks.
benchmarking c-cpp cuda deep-learning gpu-acceleration high-performance-computing mnist neural-networks nsight openacc parallel-computing performance-optimization profiling shared-memory tensor-cores cuda-streams pinned-memory
Language:Cuda 1
/ cpp-cuda-deepvision-rtx-starter
CUDA C++ practice project for RTX 4070 SUPER — explore GPU concurrency, pinned memory, and Nsight profiling. Includes SAXPY and 2D blur kernels to train optimization, stream overlap, and timing analysis for NVIDIA Developer Technology Engineering skillset.
cuda cpp gpu nvidia parrallel-computing cuda-kernels cuda-streams deep-learning-inference gpu-optimization gpu-profiling high-performance-computing nsight pinned-memory
Language:Cuda
/ cpp-cuda-streams-and-pinned-mem
A CUDA C++ demo showing how to overlap data transfer and kernel execution using multiple streams and pinned (page-locked) host memory. This project illustrates asynchronous memcpy, event timing, and performance benefits of concurrent GPU execution — essential for building high-throughput pipelines.
cuda gpu parallel-programming pinned-memory cuda-streams asynchronous-execution performance-optimization
Language:C++

/ MNIST-Classification