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nvtx

Here are 11 public repositories matching this topic...

cupy / cupy

NumPy & SciPy for GPU

python gpu numpy cuda cublas scipy tensor cudnn rocm cupy cusolver nccl curand cusparse nvrtc cutensor nvtx cusparselt

Updated Sep 8, 2025
Python

Bruce-Lee-LY / cuda_hook

Hooked CUDA-related dynamic libraries by using automated code generation tools.

Updated Dec 12, 2023
C

simbleau / nvtx

A safe Rust FFI binding for the NVIDIA® Tools Extension SDK (NVTX).

nvidia api-binding nvtx

Updated Jan 18, 2024
Rust

adityaiitb / pyprof2

PyProf2: PyTorch Profiling tool

deep-learning cuda pytorch performance-analysis profiling nvidia-gpu nvprof nvtx pytorch-profiling

Updated Jun 25, 2020
Python

JuliaGPU / NVTX.jl

Julia bindings for NVTX, for instrumenting with the Nvidia Nsight Systems profiler

julia cuda profiling nvtx nsys

Updated Sep 2, 2025
Julia

p-costa / first-timer

Simple timing routines to be used in codes which use MPI and possibly CUDA/OpenACC using NVTX markers

fortran timer mpi nvtx

Updated Feb 15, 2025
Fortran

JBlaschke / PyNVTX

Thin pybind11 wrapper for NVTX wrappers -- with some bells and whistles attached.

cuda nvtx nvtx-markers

Updated May 6, 2021
Python

dgcnz / nvtx-vscode

Create NVIDIA NVTX ranges directly in VS Code, then profile with Nsight Systems without modifying source code.

vscode cuda pytorch nvtx

Updated Aug 3, 2025
TypeScript

yasser1-0 / FP16-vs-FP32-A-GPU-Lab-in-Frames

🎬 Explore GPU training efficiency with FP32 vs FP16 in this modular lab, utilizing Tensor Core acceleration for deep learning insights.

performance-engineering deep-learning reproducible-research cuda pytorch fp16 cupy mixed-precision nsight gpu-benchmark nvtx fp32 tensor-core

Updated Sep 6, 2025
Python

Dartayous / GPU-Profiling-Lab

Profiling with Precision. Documenting with Style.

cuda cupy nvtx nsight-systems gpu-profiling

Updated Sep 3, 2025
Jupyter Notebook

Dartayous / FP16-vs-FP32-A-GPU-Lab-in-Frames

A reproducible GPU benchmarking lab that compares FP16 vs FP32 training on MNIST using PyTorch, CuPy, and Nsight profiling tools. This project blends performance engineering with cinematic storytelling—featuring NVTX-tagged training loops, fused CuPy kernels, and a profiler-driven README that narrates the GPU’s inner workings frame by frame.

performance-engineering deep-learning reproducible-research cuda pytorch fp16 cupy mixed-precision nsight gpu-benchmark nvtx fp32 tensor-core

Updated Sep 5, 2025
Python

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