Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
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 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 project structure and files
- Compiling and running the program
- Displaying output using printf and fprintf
ROCm API
- Using ROCm API in host programs
- Querying device information and capabilities
- Allocating and deallocating device memory
- Copying data between host and device
- Launching kernels and synchronizing threads
- Handling errors and exceptions
HIP Language
- Using HIP language in device programs
- Writing kernels for GPU execution and data manipulation
- Using data types, qualifiers, operators, and expressions
- Using built-in functions, variables, and libraries
ROCm and HIP Memory Model
- Using different memory spaces: global, shared, constant, and local
- Using various memory objects: pointers, arrays, textures, and surfaces
- Using memory access modes: read-only, write-only, read-write, etc.
- Understanding memory consistency models and synchronization mechanisms
ROCm and HIP Execution Model
- Utilizing execution models: threads, blocks, and grids
- Using thread functions like hipThreadIdx_x, hipBlockIdx_x, hipBlockDim_x, etc.
- Using block functions like __syncthreads, __threadfence_block, etc.
- Using grid functions like hipGridDim_x, hipGridSync, cooperative groups, etc.
Debugging
- Debugging ROCm and HIP programs on Windows
- Using Visual Studio Code debugger to inspect variables, breakpoints, and call stacks
- Using the ROCm Debugger for debugging ROCm and HIP programs on AMD devices
- Using the ROCm Profiler to analyze ROCm and HIP programs on AMD devices
Optimization
- Optimizing ROCm and HIP programs on Windows
- Improving memory throughput through coalescing techniques
- Reducing memory latency using caching and prefetching techniques
- Optimizing memory access and bandwidth using shared and local memory techniques
- Measuring and improving execution time and resource utilization using profiling tools
Summary and Next Steps
Requirements
- Understanding of C/C++ language and parallel programming concepts.
- Basic knowledge of computer architecture and memory hierarchy.
- Experience with command-line tools and code editors.
- Familiarity with the Windows operating system and PowerShell.
Audience
- Developers seeking to install and use ROCm on Windows to program AMD GPUs and exploit parallelism.
- Developers aiming to write high-performance, scalable code compatible with various AMD devices.
- Programmers interested in exploring low-level GPU programming aspects and optimizing code performance.
21 Hours
