pwrliang

.tmux

🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️

mutrace

Forked from git.0pointer.net/mutrace.git

geneva

automated censorship evasion for the client-side and server-side

nurdma

Understanding RDMA Behavior in NUMA Systems

run

润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新**人的核心宗教，核心信念。

ldd3

Linux Device Drivers 3 examples updated to work in recent kernels

open-gpu-kernel-modules

NVIDIA Linux open GPU kernel module source

RedN

Arbitrary offloads for RDMA NICs

mercury

Mercury is a C library for implementing RPC, optimized for HPC.

flash-linux0.11-talk

你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码

awesome-smartnic

A curated list of awesome smartnic tutorials, papers and projects.

grpc_bench

Various gRPC benchmarks

libibverbscpp

C++ bindings for libibverbs

cmake-project-template

This project is aimed at jump-starting a C/C++ project that can build libraries, binaries and have a working unit test suite. It uses CMake build system and is deliberately completely minimal.

CLRS

📚 Solutions to Introduction to Algorithms Third Edition

c-ringbuf

A ring buffer implemented in C

NeutronStarLite

A Distributed GNN system

Performance-Evaluation-Benchmark

coder-kung-fu

开发内功修炼

crocks

A fast, sharded key-value store, based on RocksDB.

rlibv2

A mirror of RLib from lab.

gam

Globally Addressable Memory management (efficient distributed memory management via RDMA and caching)

what-happens-when

An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"

eRPC

Efficient RPCs for datacenter networks

rdma_bench

A framework to understand RDMA

networking

Enhanced networking support for TensorFlow. Maintained by SIG-networking.

keras

Deep Learning for humans

rdma-core

RDMA core userspace libraries and daemons

Ring-Buffer

simple C++11 ring buffer implementation, allocated and evaluated at compile time

Tensorflow-RDMA

Tensorflow is a computational library using data flow graphs for scalable machine learning, and Tensorflow-RDMA is the implementation over RDMA, which can get about 4.5x speedup on two nodes comparing with TCP/IP.