ROCm is an open source platform for GPU programming that supports AMD GPUs, and also provides compatibility with CUDA and OpenCL. ROCm exposes the programmer to the hardware details and gives full control over the parallelization process. However, this also requires a good understanding of the device architecture, memory model, execution model, and optimization techniques.
ROCm for Windows is a recent development that allows users to install and use ROCm on Windows operating system, which is widely used for personal and professional purposes. ROCm for Windows enables users to leverage the power of AMD GPUs for various applications, such as artificial intelligence, gaming, graphics, and scientific computing.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to install and use ROCm on Windows to program AMD GPUs and exploit their parallelism.
By the end of this training, participants will be able to:
- Set up a development environment that includes ROCm Platform, a AMD GPU, and Visual Studio Code on Windows.
- Create a basic ROCm program that performs vector addition on the GPU and retrieves the results from the GPU memory.
- Use ROCm API to query device information, allocate and deallocate device memory, copy data between host and device, launch kernels, and synchronize threads.
- Use HIP language to write kernels that execute on the GPU and manipulate data.
- Use HIP built-in functions, variables, and libraries to perform common tasks and operations.
- Use ROCm and HIP memory spaces, such as global, shared, constant, and local, to optimize data transfers and memory accesses.
- Use ROCm and HIP execution models to control the threads, blocks, and grids that define the parallelism.
- Debug and test ROCm and HIP programs using tools such as ROCm Debugger and ROCm Profiler.
- Optimize ROCm and HIP programs using techniques such as coalescing, caching, prefetching, and profiling.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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