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codon

A high-performance, zero-overhead, extensible Python compiler using LLVM

cognn_info_for_sc22

colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

column

High-performance, columnar, in-memory store with bitmap indexing in Go

consistency_models

Official repo for consistency models.

coordl

cpython-internals

Dive into CPython internals, trying to illustrate every detail of CPython implementation

cuda

Introduction to CUDA programming

cuda_gemm

A simple high performance CUDA GEMM implementation.

cuda_gemm-learning

A simple high performance CUDA GEMM implementation.

dace

DaCe - Data Centric Parallel Programming

daceml

A Data-Centric Compiler for Machine Learning

dapple

An Efficient Pipelined Data Parallel Approach for Training Large Model

darknet

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

dds

Server-driven Video Streaming for Deep Learning Inference

decima-sim

Learning Scheduling Algorithms for Data Processing Clusters

deepplan

Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access (ACM EuroSys '23)

deeppool

deeppool-artifact

deeppool1

deepreduce

A Sparse-tensor Communication Framework for Distributed Deep Learning

disb

DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.

djinn

Deep Neural Networks (DNNs) as a Service

dnn-partitioning

dolly

dorylus

Dorylus: Affordable, Scalable, and Accurate GNN Training

driple

🚨 Prediction of the Resource Consumption of Distributed Deep Learning Systems

ds-analyzer

dsgdpp

Implementations of various parallel algorithms for matrix factorization (including DSGD++)

dsp

𝗗𝗦𝗣: Demonstrate-Search-Predict. A framework for composing retrieval and language models for knowledge-intensive NLP.