GPU Acceleration Courses and Certifications

Reallusion

iClone 6 Tutorial - Indigo Camera and Render Settings

Learn advanced camera and render settings in iClone 6, including depth of field, tone mapping, and GPU acceleration. Master techniques to enhance scene mood and optimize render speed.

• YouTube
• 22 minutes
• On-Demand
• Free Video

IEEE

Visual Rendering Techniques - Session 26

Explore advanced techniques in visual rendering, covering cutting-edge methods for creating realistic and immersive digital imagery in various applications.

• YouTube
• 1 hour 38 minutes
• On-Demand
• Free Video

Beyond CUDA: GPU Accelerated Machine Learning on Cross-Vendor Graphics Cards with Vulkan Kompute

Explore GPU-accelerated machine learning across multiple vendors using Vulkan Kompute. Learn parallel processing options, Vulkan basics, and implement a linear regression example on diverse graphics cards.

• YouTube
• 29 minutes
• On-Demand
• Free Video

JSConf

JavaScript on the GPU

Explore GPU-accelerated JavaScript programming techniques for enhanced performance and efficiency in web applications.

• YouTube
• 31 minutes
• On-Demand
• Conference Talk

The Cherno

Path Tracing - Introduction to Ray Tracing Series

Explore path tracing in ray tracing, including accumulation techniques and sample gathering. Learn to create photo-realistic digital imagery with optimized C++ implementation and GPU acceleration.

• YouTube
• 23 minutes
• On-Demand
• Free Video

The Cherno

Rendering a Sphere Using Ray Tracing - Ray Tracing Series

Learn to render a sphere using ray tracing techniques in C++. Covers creating a Renderer class, structuring code like a pixel shader, and implementing sphere rendering with optimized performance.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Rust

Ochre - Highly Portable GPU-Accelerated Vector Graphics

Explore GPU-accelerated vector graphics with Ochre, a Rust library designed for portability across diverse hardware. Learn about performance optimization and API design for modern user interfaces.

• YouTube
• 22 minutes
• On-Demand
• Conference Talk

James Briggs

GPU-Acceleration for PyTorch on M1 Macs - Using with BERT

Explore GPU acceleration for PyTorch on M1 Macs, including installation, implementation with BERT, and best practices for training large language models on Mac hardware.

• YouTube
• 19 minutes
• On-Demand
• Free Video

Devoxx

Optimizing the Performance of Machine Learning in Enterprise Java SaaS with GraalVM, Python and CUDA

Enhance Java SaaS with GraalVM: integrate Python ML libraries, leverage GPU acceleration for model training, and implement recommender systems in enterprise applications.

• YouTube
• 45 minutes
• On-Demand
• Conference Talk

Samuel Chan

PyTorch Datasets, DataLoaders and Transforms - GPU Series Part 3

Explore PyTorch's data handling tools: Datasets, DataLoaders, and Transforms. Learn to prepare, visualize, and optimize data for GPU-accelerated deep learning using Fashion-MNIST dataset.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Samuel Chan

Introduction to Tensors - PyTorch with GPU Series Part 2

Explore tensor initialization, GPU usage, operations, memory sharing, and profiling in PyTorch for efficient deep learning model development.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Web Conferences Amsterdam

Rendering Without Lumpy Bits - Optimizing Web Performance

Optimizing web performance: strategies for efficient DOM manipulation, layout management, and GPU interaction to achieve smooth rendering and animation across browsers and devices.

• YouTube
• 49 minutes
• On-Demand
• Free Video

USENIX

VectorVisor - A Binary Translation Scheme for Throughput-Oriented GPU Acceleration

Explore VectorVisor, a novel GPU acceleration approach for server-side applications, offering improved throughput and cost-efficiency through vectorized binary translation and CPU thread emulation.

• YouTube
• 25 minutes
• On-Demand
• Conference Talk

EuroPython Conference

GPU Acceleration of a Global Atmospheric Model Using Python Based Multi-Platform

Explore GPU acceleration for global atmospheric models using PyMIP, a Python module integrating C, Fortran, CUDA, and OpenCL. Learn about performance improvements and multi-platform compatibility for weather forecasting and climate prediction.

• YouTube
• 29 minutes
• On-Demand
• Conference Talk

CNCF [Cloud Native Computing Foundation]

Production Multi-node Jobs with Gang Scheduling, K8s, GPUs and RDMA

Explore distributed execution of DL/ML jobs in Kubernetes, covering gang scheduling, GPU acceleration, and high-speed networking for improved performance and scalability.

• YouTube
• 33 minutes
• On-Demand
• Conference Talk