Source code examples from the Parallel Forall Blog
☆1,328Sep 23, 2025Updated last year
Alternatives and similar repositories for code-samples
Users that are interested in code-samples are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl☆1,844Oct 9, 2023Updated 3 years ago
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆9,732Sep 9, 2026Updated last month
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆10,679Updated this week
- [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl☆4,998Feb 8, 2024Updated 2 years ago
- Examples demonstrating available options to program multiple GPUs in a single node or a cluster☆917Oct 23, 2026Updated last week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- CUDA Data Parallel Primitives Library☆438Nov 9, 2018Updated 7 years ago
- Source code from NVIDIA CUDACasts☆49May 1, 2014Updated 12 years ago
- Patterns and behaviors for GPU computing☆1,804Jan 17, 2026Updated 9 months ago
- CUDA Library Samples☆2,540Oct 21, 2026Updated last week
- Optimized primitives for collective multi-GPU communication☆5,190Updated this week
- Assembler for NVIDIA Maxwell architecture☆1,073Jan 3, 2023Updated 3 years ago
- Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.☆347Apr 14, 2022Updated 4 years ago
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆299Nov 28, 2018Updated 7 years ago
- A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology☆1,428Sep 15, 2026Updated last month
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆150Aug 18, 2020Updated 6 years ago
- Source code that accompanies The CUDA Handbook.☆599Aug 15, 2026Updated 2 months ago
- Example codes from the book Parallel Programming With OpenACC☆86Feb 15, 2017Updated 9 years ago
- Programmable CUDA/C++ GPU Graph Analytics☆1,104Oct 23, 2026Updated last week
- CUDA Kernel Benchmarking Library☆942Oct 23, 2026Updated last week
- A single-header C++ library for simplifying the use of CUDA Runtime Compilation (NVRTC).☆575Sep 15, 2025Updated last year
- Yinghan's Code Sample☆369Jul 25, 2022Updated 4 years ago
- Full-speed Array of Structures access☆177Apr 25, 2023Updated 3 years ago
- ☆674Updated this week
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,597Updated this week
- Range-based for loops to iterate over a range of numbers or values☆34Nov 23, 2016Updated 9 years ago
- NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…☆13,422Oct 9, 2026Updated 3 weeks ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆1,005Sep 19, 2024Updated 2 years ago
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆577Sep 8, 2024Updated 2 years ago
- collection of benchmarks to measure basic GPU capabilities☆542Oct 24, 2025Updated last year
- ☆401Apr 23, 2024Updated 2 years ago
- Open Machine Learning Compiler Framework☆13,884Updated this week
- Transformer related optimization, including BERT, GPT☆6,458Mar 27, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- CUDA Core Compute Libraries☆2,559Updated this week
- NCCL Tests☆1,682Oct 5, 2026Updated 3 weeks ago
- A simple high performance CUDA GEMM implementation.☆441Jan 4, 2024Updated 2 years ago
- [ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl☆2,300Feb 7, 2024Updated 2 years ago
- GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for…☆1,761Oct 3, 2026Updated 3 weeks ago
- An unofficial cuda assembler, for all generations of SASS, hopefully ：）☆635Apr 20, 2023Updated 3 years ago
- Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs…☆4,082Updated this week