Plan Szkolenia
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 check the device compatibility
- Updating or uninstall 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 run the program
- Displaying the output using printf and fprintf
ROCm API
- Using ROCm API in the host program
- Querying device information and capabilities
- Allocating and deallocate device memory
- Copying data between host and device
- Launching kernels and synchronize threads
- Handling errors and exceptions
HIP Language
- Using 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 model 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 analyze ROCm and HIP programs on AMD devices
Optimization
- Optimizing 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 optimize memory accesses and bandwidth
- Using profiling and profiling tools to measure and improve the execution time and resource utilization
Summary and Next Steps
Wymagania
- An 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 Windows operating system and PowerShell
Audience
- Developers who wish to learn how to install and use ROCm on Windows to program AMD GPUs and exploit their parallelism
- Developers who wish to write high-performance and scalable code that can run on different AMD devices
- Programmers who wish to explore the low-level aspects of GPU programming and optimize their code performance
Opinie uczestników (5)
Bardzo interaktywne z różnymi przykładami, z dobrym postępem złożoności między początkiem a końcem szkolenia.
Jenny - Andheo
Szkolenie - GPU Programming with CUDA and Python
Przetłumaczone przez sztuczną inteligencję
Podejście prowadzącego. Bardzo sympatyczny i z poczuciem humoru, jednocześnie z zachowaniem należytego profesjonalizmu. W razie pytań, odpowiedzi były zawsze wyczerpujące. Dla mnie jako osoby mało obeznaną z tematem programowania niskopoziomowego, otwartośc prowadzącego dużo pomoga.
Michał Kwiatek - Nokia Solutions and Networks Sp. z o.o.
Szkolenie - NVIDIA GPU Programming - Extended
zainteresowanie osobami ,które były na szkoleniu, tłumaczenie każdemu z osobna
agata miernik-dukielska - BANK SPÓŁDZIELCZY W OŁAWIE
Szkolenie - Raster and Vector Graphics (Adobe Photoshop, Corel Draw)
Podczas szkolenia najbardziej spodobała mi się elastyczność trenera, jego zdolność do reagowania na niespodziewane i potencjalnie głupie pytania. Wybitny poziom wiedzy trenera na temat kart graficznych NVIDIA.
Adrian Ronowski - NARODOWE CENTRUM BEZPIECZEŃSTWA CYBERBEZPIECZEŃSTWA
Szkolenie - NVIDIA GPU Programming
praca na przykładach