拓竹科技ai-infra基础架构-实习生
实习兼职研发地点：深圳 | 上海状态：招聘
工作描述
任职要求 职位要求 任职要求 1. 精通计算机体系结构、编译原理等知识;熟练掌握C++/Pythorn,能编写高性能代码。 2. 深入理解CUDA编程;熟练运用MNN/RKNN/TensorRT等推理框架;熟悉TensorFlow/PyTorch/ONNX底层原理及 模型转换。 3. 具备Megatron、DeepSpeed、v…
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包括英文材料
编译原理+
https://compilerbook.com/
We're picking up right where we left off and write a compiler and a virtual machine for Monkey.
https://craftinginterpreters.com/
Crafting Interpreters contains everything you need to implement a full-featured, efficient scripting language.
https://interpreterbook.com/
In this book we will create a programming language together.
https://nostarch.com/writing-c-compiler
Build a Real Programming Language from Scratch
https://www.youtube.com/watch?v=5ZmFlxrNaN8&list=PLBlnK6fEyqRjT3oJxFXRgjPNzeS-LFY-q
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
CUDA+
https://developer.nvidia.com/blog/even-easier-introduction-cuda/
This post is a super simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA.
https://www.youtube.com/watch?v=86FAWCzIe_4
Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning.
MNN+
https://github.com/alibaba/MNN?tab=readme-ov-file#intro
MNN is a highly efficient and lightweight deep learning framework.
TensorRT+
https://docs.nvidia.com/deeplearning/tensorrt/latest/getting-started/quick-start-guide.html
This TensorRT Quick Start Guide is a starting point for developers who want to try out the TensorRT SDK; specifically, it demonstrates how to quickly construct an application to run inference on a TensorRT engine.
TensorFlow+
https://www.youtube.com/watch?v=tpCFfeUEGs8
Ready to learn the fundamentals of TensorFlow and deep learning with Python? Well, you’ve come to the right place.
https://www.youtube.com/watch?v=ZUKz4125WNI
This part continues right where part one left off so get that Google Colab window open and get ready to write plenty more TensorFlow code.
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具，在灵活性、可读性和性能上都具备相当的优势，近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
ONNX+
https://github.com/onnx/tutorials
Open Neural Network Exchange (ONNX) is an open standard format for representing machine learning models.
[英文] Introduction to ONNX
https://onnx.ai/onnx/intro/
This documentation describes the ONNX concepts (Open Neural Network Exchange).
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