ROCm for Windows Training Course

ROCm serves as an open-source platform designed for GPU programming, supporting AMD GPUs while also ensuring compatibility with CUDA and OpenCL. This platform provides developers with direct access to hardware details, granting them full control over the parallelization process. However, effective use of ROCm demands a solid understanding of device architecture, memory models, execution models, and various optimization techniques.

ROCm for Windows represents a significant advancement, enabling users to install and operate ROCm on the Windows operating system—a platform widely utilized for both personal and professional applications. With ROCm for Windows, users can harness the power of AMD GPUs for diverse applications, including artificial intelligence, gaming, graphics rendering, and scientific computing.

This instructor-led live training, available online or onsite, targets beginner to intermediate developers who aim to install and utilize ROCm on Windows to program AMD GPUs and exploit their parallel processing capabilities.

Upon completing this training, participants will be able to:

• Establish a development environment comprising the ROCm Platform, an AMD GPU, and Visual Studio Code on Windows.
• Develop a basic ROCm program that executes vector addition on the GPU and retrieves results from GPU memory.
• Utilize the ROCm API to query device information, allocate and deallocate device memory, transfer data between host and device, launch kernels, and synchronize threads.
• Employ the HIP language to write kernels that execute on the GPU and manipulate data.
• Use HIP built-in functions, variables, and libraries to accomplish common tasks and operations.
• Leverage ROCm and HIP memory spaces—such as global, shared, constant, and local—to optimize data transfers and memory access.
• Apply ROCm and HIP execution models to manage threads, blocks, and grids, which define the parallelism.
• Debug and test ROCm and HIP programs using tools like ROCm Debugger and ROCm Profiler.
• Enhance ROCm and HIP programs through techniques such as coalescing, caching, prefetching, and profiling.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange details.