Jake Hemstad

Simple tool for analyzing C++ project include graph

CUDA C++ Core Libraries

GPU programming related news and material links

Answering "What is the faster way to return a single scalar from a kernel to host?"

Template repository for CUDA enabled benchmarks using Google Benchmark

Write a fast kernel and run it on Discord. See how you compare against the best!

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

Adventure in profiling and optimization.

NVIDIA curated collection of educational resources related to general purpose GPU programming.

No description provided.

LLM training in simple, raw C/CUDA

No description provided.

No description provided.

CUDA Templates for Linear Algebra Subroutines

Examples on how to use C-Reduce to create minimal compiler bug reproducers

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

No description provided.

The NVIDIA C++ Standard Library

Cooperative primitives for CUDA C++.

`std::execution`, the proposed C++ framework for asynchronous and parallel programming.

No description provided.

No description provided.

Testing linkage of function local statics

This repository is deprecated and the code has moved to the official NVIDIA NVTX github repository: https://github.com/NVIDIA/NVTX

Thrust is a C++ parallel programming library which resembles the C++ Standard Library.

Add NVTX ranges to Python GIL

CUDA Kernel Benchmarking Library

Run compilers interactively from your web browser and interact with the assembly

Infrastructure to set up the public Compiler Explorer instances and compilers

Benchmarks for sequential and random memory accesses to global memory