OpenCL Courses and Certifications

Coursera

OpenCL Programming

Master OpenCL programming for parallel computing across CPUs, GPUs, and FPGAs. Develop high-performance applications, optimize kernels, manage memory efficiently, and scale computations for AI, scientific simulations, and more.

• Coursera
• 3 hours 41 minutes
• On-Demand
• Paid Course

X.Org Foundation

Rusticl OpenCL Implementation Status Update 2023

Discover the latest developments and implementations in Rusticl, exploring project updates and future outlook for this OpenCL implementation in Rust.

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

ADC - Audio Developer Conference

Fast Audio Thread Synchronization for GPU Data

Explore GPU-based physics simulation for audio, covering thread synchronization, OpenCL optimization, and real-time performance techniques for complex data models.

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

Function Acceleration on FPGA with Vitis-Part 1: Fundamental

218 ratings at Udemy

Master FPGA-based function acceleration using C/C++ in Xilinx Vitis, from basic concepts to implementing real projects on Zynq platforms without HDL programming.

• Udemy
• 9 hours 26 minutes
• On-Demand
• Paid Course

IIT Kharagpur;  NPTEL

GPU Architectures and Programming

Comprehensive exploration of GPU architectures and programming, covering CUDA and OpenCL, with focus on optimization techniques and practical applications in modern computing scenarios.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Escape Studios

Playing With Fire - Pyro SOP Solver, Houdini Tutorial

1 review

Learn top tips for Houdini 18's Pyro SOP solver, covering setup, simulation, shaping, and rendering techniques for creating realistic fire effects in 3D VFX.

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

linux.conf.au

But Mummy I Don't Want to Use CUDA - Open Source GPU Compute

Explore alternatives to CUDA for GPU computing, focusing on open-source options like OpenCL, SPIR-V, and SYCL. Discuss challenges and potential solutions for a vendor-neutral Linux compute stack.

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

Devoxx

Java on the GPU - Where Are We Now?

Explore GPU utilization in Java, covering OpenGL, CUDA, and OpenCL for massive computations. Learn advantages and drawbacks of GPU computing in desktop and cloud environments.

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

linux.conf.au

Tensorflow on Open Source GPUs

Explore efforts to enable TensorFlow on open-source GPUs using SYCL, LLVM, and OpenCL. Learn about challenges and progress in deploying AI/ML frameworks without proprietary NVIDIA CUDA stack.

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

ACCU Conference

Heterogeneous Programming in C++ Today

Explore the evolving landscape of heterogeneous parallelism in C++, including standards, specifications, and future applications in IoT, self-driving cars, and machine learning.

• YouTube
• 1 hour 32 minutes
• On-Demand
• Conference Talk

Scala Days Conferences

Scala Goes Native

Explore Scala's expansion beyond JVM with a new ahead-of-time compiler and lightweight managed runtime, opening doors to native development and enhanced performance.

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

Linux Plumbers Conference

Open Source GPU Compute Stack - Not Dancing the CUDA Dance

Exploring open-source alternatives to CUDA for GPU compute acceleration, discussing potential for a vendor-neutral reference stack using SYCL/OpenCL/Vulkan and Mesa.

• YouTube
• 47 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

CppNow

RaftLib - Simpler Parallel Programming

Explore RaftLib, a C++ library simplifying parallel programming for heterogeneous multicore processors. Learn to write efficient code for complex hardware without extensive low-level knowledge.

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

ADC - Audio Developer Conference

Implementing Real-Time Parallel DSP on GPUs

Explore GPU-powered audio processing, overcoming challenges to achieve real-time DSP. Learn about parallelism, data transfer, and scheduling for ultra-fast plugins and scalable performance.

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