CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API
☆37Sep 15, 2023Updated 2 years ago
Alternatives and similar repositories for CUDA-INT8-GEMM
Users that are interested in CUDA-INT8-GEMM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆12Mar 4, 2022Updated 4 years ago
- The only known (by 2022) open-source, easy-to-understand basic algorithm implementations in TD-CEM. (Please star and fork this project if…☆15Mar 1, 2022Updated 4 years ago
- Overlapping Schwarz Domain Decomposition Finite Element Algorithm in both Matlab and serial/parallel C++☆18Mar 1, 2022Updated 4 years ago
- Forward and backward Attention DNN operators implementationed by LibTorch, cuDNN, and Eigen.☆31Jun 6, 2023Updated 3 years ago
- ☆23Aug 14, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆20Aug 3, 2025Updated 11 months ago
- ☆165Sep 15, 2023Updated 2 years ago
- Sample examples of how to call collective operation functions on multi-GPU environments. A simple example of using broadcast, reduce, all…☆36Aug 28, 2023Updated 2 years ago
- ☆20Nov 7, 2019Updated 6 years ago
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆147Aug 18, 2020Updated 5 years ago
- Optimize softmax in triton in many cases☆24Sep 6, 2024Updated last year
- ☆187May 11, 2026Updated 2 months ago
- YOLOv12 TensorRT 端到端模型加速推理和INT8量化实现☆14Mar 5, 2025Updated last year
- Simple and efficient memory pool is implemented with C++11.☆10Jun 2, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆14Nov 3, 2025Updated 8 months ago
- An auxiliary project analysis of the characteristics of KV in DiT Attention.☆34Nov 29, 2024Updated last year
- A unified and extensible pipeline for deep learning model inference with C++. Now support yolov8, yolov9, clip, and nanosam. More models …☆12Aug 3, 2025Updated 11 months ago
- ☆150Jan 9, 2025Updated last year
- ☆121Apr 11, 2024Updated 2 years ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆45Feb 27, 2025Updated last year
- bilibili视频【CUDA 12.x 并行编程入门(C++版)】配套代码☆35Aug 12, 2024Updated last year
- Circom circuits library for magnificent ZK applications☆15Jun 4, 2025Updated last year
- Combined solution from Matter Labs and Yrrid based on their respective submissions for the Z-Prize category Accelerating MSM Operations o…☆16Oct 30, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- CUDA Matrix Multiplication Optimization☆276Jul 19, 2024Updated 2 years ago
- 基于 CUDA Driver API 的 cuda 运行时环境☆16Jul 30, 2025Updated 11 months ago
- 手摸手 美团 YOLOv6模型训练和TensorRT端到端部署方案教程☆34Jun 30, 2022Updated 4 years ago
- Accelerating MSM Operations on GPU/FPGA☆15Sep 16, 2022Updated 3 years ago
- Make FP4 on 5090 Great Again☆17Updated this week
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Jun 21, 2026Updated last month
- Optimized Parallel Tiled Approach to perform Matrix Multiplication by taking advantage of the lower latency, higher bandwidth shared memo…☆17Sep 24, 2017Updated 8 years ago
- 本仓库在OpenVINO推理框架下部署Nanodet检测算法,并重写预处理和后处理部分,具有超高性能!让你在Intel CPU平台上的检测速度起飞! 并基于NNCF和PPQ工具将模型量化(PTQ)至int8精度,推理速度更快!☆16Jun 14, 2023Updated 3 years ago
- Flash Attention in raw Cuda C beating PyTorch☆39May 14, 2024Updated 2 years ago
- 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.
- This project is about convolution operator optimization on GPU, include GEMM based (Implicit GEMM) convolution.☆44Sep 29, 2025Updated 9 months ago
- Simple example of how to write an Implicit GEMM Convolution in CUDA using the tensor core WMMA API and bindings for PyTorch.☆19Jun 29, 2023Updated 3 years ago
- ☆121May 16, 2025Updated last year
- IMMA-based **FP8-as-storage** GEMM experiments for Ampere (sm_86 / RTX 3090 Ti).☆24Jan 30, 2026Updated 5 months ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆267May 6, 2025Updated last year
- ☆269Jul 11, 2024Updated 2 years ago
- [HPCA 2026] A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆96May 14, 2026Updated 2 months ago