Huy Trinh's Projects
PowerPoint Slides for the OpenCL training (includes Intro and Advanced)
A research assistant work at Tampere University
Exercises and Solutions for "Programming Your GPU with OpenMP: A Hands-On Introduction"
📚 Jupyter notebook tutorials for OpenVINO™
A repository of course Parallel Computing Work which develop parallel-computing versions of satellites moving and rendering using pthread, OpenMP and OpenCL.
Tutorials and Code Examples for the 'Prototype Embedded Systems' course
pigpio is a C library for the Raspberry which allows control of the General Purpose Input Outputs (GPIO).
All projects in Python course
All projects C++ in Programming 2 Course
All projects C++ in Programming 2 (Spring 2021) Course
progrep is a command-line tool (Linux) to show live progress report, status and stats of a running simulation or compute job that executes a given number of iterations. It shows % completed, time remaining(ETA), time elapsed (both wall-clock & CPU time), number of threads, MPI_Rank(if any), CPU usage & speed (FPS). The FPS measures may be used in benchmarking, for example, while optimizing HPC algorithms for performance. progrep supports both serial (single-core/single-threaded) and parallel (multicore and/or multinode - e.g. OpenMP and/or MPI) jobs. progrep can also report for jobs running on remote hosts [Case in point: jobs running on Linux Clusters]. progrep works in client-server model. The server for progrep can be installed in your simulation source code with only 4 extra lines (API). When the progrep command is invoked, it queries this server as a client. progrep does not interfere with or slow down your simulation when not invoked. Even when invoked, the overhead is insignificant. Out of the box, the progrep API works with code written in Fortran, C and C++. If your code uses other language, please write your own wrapper for the API. The API library is small and static which benefits portability of your progrep-aware binary.
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Learning operating system development using Linux kernel and Raspberry Pi
Play super mario them on your raspberry pi with passive/active buzzer
Online RIOT course + exercise material
Interactive helper script to create a ROS2 package with proper folder structure
Raspberry Pi GPS Tracker
Build a Linux kernel for Raspberry Pi 0/1/2/3/3B+
:books: Learn to write an embedded OS in Rust :crab:
:crab: Small exercises to get you used to reading and writing Rust code!
SDSoC™ (Software-Defined System-On-Chip) Environment Tutorials
Server Designing in C
A simple Python script showing how the backpropagation algorithm works.
References, Libraries and Tutorials
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent