CUDA Crash Course
Comprehensive introduction to CUDA programming, covering vector operations, matrix multiplication, memory optimization, and performance tuning for GPU-accelerated computing.
Neural Network Programming - Deep Learning with PyTorch
Learn to build and train neural networks using PyTorch, covering tensor operations, CNN architecture, data preparation, training loops, and performance optimization techniques for deep learning projects.
NVIDIA GPU Computing - A Journey from PC Gaming to Deep Learning
Explore NVIDIA GPU's evolution from gaming to deep learning, covering key architectures and applications in supercomputing, data centers, and autonomous vehicles.
WarpDrive: Orders of Magnitude Faster Multi-Agent Deep Reinforcement Learning on a GPU
Accelerate multi-agent deep reinforcement learning with WarpDrive, an open-source framework enabling end-to-end GPU execution. Explore features like automatic GPU tuning and distributed training for improved efficiency and scalability.
Achieving vLLM Platform Portability with Triton Autotuning - Ray Summit 2024
Discover IBM Research's innovative approach to vLLM platform portability using Triton autotuning, enhancing LLM serving with improved cross-platform performance and reduced dependencies.
Learning CUDA 10 Programming
Introducción práctica a la programación GPU con CUDA 10, abarcando fundamentos, modelo de programación, memoria compartida, aprendizaje profundo y concurrencia para aplicaciones de alto rendimiento.
CUDA
Comprehensive introduction to CUDA programming, covering architecture, memory, terminologies, and practical implementations for vector and matrix operations on GPUs.
CUDA Tutorials
Learn to program NVIDIA GPUs with CUDA, covering basics, kernels, memory, parallel algorithms, shared memory, and the Thrust library for efficient GPU computing.
Tensorflow, Pytorch and OpenCV Setup with CUDA
The series covers settingup tensorflow with and without CUDA and contains the basics of jupyter notebook.
OpenCV
With this course, you would build the OpenCV library on the Nvidia TX2 Jetson kit and L4T R21, process images and create some facial detection programs using python
Pytorch Tutorial
Learn PyTorch fundamentals, from installation to advanced applications. Master tensors, backpropagation, and deep learning techniques for real-world data science projects.
Julia for High-Performance Computing - JuliaCon 2022
Explore Julia's capabilities for high-performance computing through expert talks on scalability, GPU support, MPI integration, and real-world applications in scientific and engineering domains.
Flux - The Elegant Machine Learning Library for Julia
Explore Flux, an intuitive machine learning library for Julia, featuring state-of-the-art performance, automatic differentiation, and innovative compiler technology for efficient and flexible ML development.
Exceptional Splitting of Reductions of Abelian Surfaces With Real Multiplication - Yunqing Tang
Explore real multiplication in abelian surfaces, focusing on exceptional splitting of reductions. Delve into simple reduction, finite extension, and density zero concepts with insights on special devices and intersection numbers.
OpenCV
OpenCV入門到進階：從安裝、基礎影像處理到深度學習應用，涵蓋多平台開發、人臉辨識、物體追蹤等實用技巧。
CUDA Explained Five Minutes
Comprehensive overview of CUDA architecture, parallel computing, and programming model, covering key concepts and applications in an accessible Hindi-language format.
Introduction to CUDA Programming for Physicists - Lecture 1
Explore CUDA programming fundamentals for physicists, covering essential concepts and techniques to leverage GPU computing in scientific applications.
Instalación de Nvidia Cudnn y Primeros Pasos con NVCC en C++
Aprende a instalar Cudnn, la biblioteca de redes neuronales profundas de CUDA, y comienza a desarrollar aplicaciones de aprendizaje automático con soporte GPU en C++.
Acelere su Código Python con Numba y Cupy
Acelera tu código Python utilizando Numba y Cupy: compila y mueve a la GPU para optimizar el rendimiento en machine learning y ciencia de datos.
CUDA with WSL2 and Ubuntu without Docker
WSL2와 Ubuntu에서 Docker 없이 CUDA 사용하기: 아키텍처 이해부터 설치, GPU 가속 딥러닝 코드 실행까지 실습을 통해 알아보는 WSL2 환경에서의 CUDA 활용법
Introduction to CUDA Programming for Physicists - Lecture 4
Explore advanced CUDA concepts for physicists: reduction operations, specialized libraries, and optimizing GPU-accelerated computations for scientific applications.