ROCm for Windows Training Course

Introduction

• What is ROCm?
• What is HIP?
• ROCm vs CUDA vs OpenCL
• Overview of ROCm and HIP features and architecture
• ROCm for Windows vs ROCm for Linux

Installation

• Installing ROCm on Windows
• Verifying the installation and checking device compatibility
• Updating or uninstalling ROCm on Windows
• Troubleshooting common installation issues

Getting Started

• Creating a new ROCm project using Visual Studio Code on Windows
• Exploring the project structure and files
• Compiling and running the program
• Displaying the output using printf and fprintf

ROCm API

• Using the ROCm API in the host program
• Querying device information and capabilities
• Allocating and deallocating device memory
• Copying data between host and device
• Launching kernels and synchronising threads
• Handling errors and exceptions

HIP Language

• Using the HIP language in the device program
• Writing kernels that execute on the GPU and manipulate data
• Using data types, qualifiers, operators, and expressions
• Using built-in functions, variables, and libraries

ROCm and HIP Memory Model

• Using different memory spaces, such as global, shared, constant, and local
• Using different memory objects, such as pointers, arrays, textures, and surfaces
• Using different memory access modes, such as read-only, write-only, read-write, etc.
• Using memory consistency models and synchronization mechanisms

ROCm and HIP Execution Model

• Using different execution models, such as threads, blocks, and grids
• Using thread functions, such as hipThreadIdx_x, hipBlockIdx_x, hipBlockDim_x, etc.
• Using block functions, such as __syncthreads, __threadfence_block, etc.
• Using grid functions, such as hipGridDim_x, hipGridSync, cooperative groups, etc.

Debugging

• Debugging ROCm and HIP programs on Windows
• Using Visual Studio Code debugger to inspect variables, breakpoints, call stack, etc.
• Using ROCm Debugger to debug ROCm and HIP programs on AMD devices
• Using ROCm Profiler to analyse ROCm and HIP programs on AMD devices

Optimisation

• Optimising ROCm and HIP programs on Windows
• Using coalescing techniques to improve memory throughput
• Using caching and prefetching techniques to reduce memory latency
• Using shared memory and local memory techniques to optimise memory accesses and bandwidth
• Using profiling and profiling tools to measure and improve execution time and resource utilisation

Summary and Next Steps