名校录取学生分享

 

Linux Useful Tools

Network - GBD

apt install net-tools  dnsutils

看权威DNS解析:  dig +trace www.google.com

apt-get install tcpdump traceroute

tcpdump -D (list all available interface)

tcpdump -i eth0 -s0 -l port 443

[https://www.tecmint.com/12-tcpdump-commands-a-network-sniffer-tool/

nslookup www.google.com

traceroute -n www.google.com

GBD
r xxxx

info threads

bt

VEX VR IQ Online Challenge 2022-2023 Instruction

 Requirements:

https://challenges.robotevents.com/challenge/228/REC-Foundation-VR-Challenge

Code Online: 

https://codeiq.vex.com/

Ranking:

https://www.robotevents.com/robot-competitions/vex-iq-competition/virtualSkillsStandings

Winners:

https://challenges.robotevents.com/challenge/228/entry?filter=winners

VEX Robotics World Championship 2021-2022 Videos

Introduction and experience: 

https://www.youtube.com/watch?v=I1xfAxlaTgo

CUDA vs cuDNN vs tiny-cuda-nn

 These terms usually confuse the beginners. Let's explain them in a simple and clear way.

CUDA vs cuDNN:

NVIDIA CUDA Deep Neural Network (cuDNN) is a GPU-accelerated library of primitives for deep neural networks.

The cuDNN library is a library optimized for CUDA containing GPU implementations. Think of cuDNN as a library for Deep Learning using CUDA and CUDA as a way to talk to the GPU.

In summary, CUDA provides the programming interface and runtime environment for general-purpose computing on a GPU, while cuDNN is a library that specifically optimizes deep learning operations on a GPU.

tiny-cuda-nn:

tiny-cuda-nn comes with a PyTorch extension that allows using the fast MLPs and input encodings from within a Python context. These bindings can be significantly faster than full Python implementations; in particular for the multi-resolution hash encoding.

2022 -2023 VEX Slapshot good design

Yellow dispenser: 

https://www.youtube.com/watch?v=hAXIjDPQzdg&t=10s

https://www.youtube.com/watch?v=vx8JFi54sfo&t=26321s