Programming Book 2 ：C++、Go、JavaScript、Node.js

the back-end logic of game

golang并发执行多任务，并聚合多任务结果与状态

An implementation of OpenGL 3.x-ish in clean C

antlr4 go语言的demo

📖 Go 程序员面试笔试宝典 | 从问题切入，串连 Go 语言相关的所有知识，融会贯通。 https://golang.design/go-questions

a toy torrent client written in golang

一个实现 Twitter SnowFlake 算法 的 Go 分布式 UID 生成器.A threadsafe unique ID generator inspired by Twitter SnowFlake theory

A simple to use Go (golang) package to generate or parse Twitter snowflake IDs

This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, s…

A Rust zkVM with a Modular Proof System

⚓ 我的游戏程序员生涯的读书笔记合辑。你可以把它看作一个加强版的Blog。涉及图形学、实时渲染、编程实践、GPU编程、设计模式、软件工程等内容。Keep Reading , Keep Writing , Keep Coding.

Blazing fast, structured, leveled logging in Go.

一个存放Go语言/计算机相关学习资料的仓库

【超全golang面试题合集+golang学习指南+golang知识图谱+入门成长路线】 一份涵盖大部分golang程序员所需要掌握的核心知识。常用第三方库(mysql,mq,es,redis等)+机器学习库+算法库+游戏库+开源框架+自然语言处理nlp库+网络库+视频库+微服务框架+视频教程+音频音乐库+图形图片库+物联网库+地理位置信息+嵌入式脚本库+编译器库+数据库+金融库+电子邮件库…

golang 版本小众点评（黑马点评） 后端

high performance in-memory cache

TinyGL: a Small, Free and Fast Subset of OpenGL

FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

im app frontend

im app backend

学习资料

brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" mea…

Re-upload of iikira/BaiduPCS-Go

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

An authorization library that supports access control models like ACL, RBAC, ABAC in Golang: https://discord.gg/S5UjpzGZjN

Training and serving large-scale neural networks with auto parallelization.

Code base and slides for ECE408：Applied Parallel Programming On GPU.