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cs186

CS 186, Fall 2017

dragon-book-exercise-answers

Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理（紫龙书）第2版习题答案。

edgevisiontransformer

To deploy Transformer models in CV to mobile devices.

final-project_cs241

lsbasi

Let's Build A Simple Interpreter

matrixcomputations

Implementation of parallel algorithms in Matrix Computations book.

moonlit

This is a collection of our research on efficient AI, covering hardware-aware NAS and model compression.

myriscv32i_sim5

(prediction+forwarding)

nvidia_sgemm_practice

Step-by-step optimization of CUDA SGEMM

oracleeveryday

Course project of EE458 Software Engineering Spring 2021.

osc10e

Source code for the 10th edition of Operating System Concepts

proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

snbench

A micro benchmark suite that quantifies the performance impact of IEEE-754 subnormal numbers on arithmetic instructions and transcendental functions.

spaceevo

Implementation of SpaceEvo.

tnn

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.