AMD HIP Training Course Overview
Introduction to ROCm. Learn about the AMD ROCm software stack and components.
ROCm Device Driver Installation
Learn about the ROCm components.
AMD GPU Hardware
Learn about the Heterogeneous-Computing Interface for Portability.
HIP - Hello World! Your first HIP hands-on program. Vector add
HIP vector add - analysis
HIP Matrix Transpose. Learn how to perform Matrix Transpose on CPU and GPUs
HIP Matrix Transpose Profiling
HIP Matrix Transpose - Optimized
HIP Thread Sync and Cooperation
HIP Concurrency and Overlaping Operations
Example 1: Matrix/ Vector Multiply
Example 2: Matrix Multiplications
Example 3: Histograms
How to install HIP on CPU?
How to use hipfy-perl or hipfy-clang?
ROCm/ HIP performance tuning overview
Performance tuning examples
ROCm Matrix Operations with Libraries
ROCm rocFFT Examples
ROCm/ HIP Multi-GPU operations
Multi-GPU vector addition
Multi-GPU Square Sum Example
Stream-based multi-GPU programming (advanced)
Foundation course on the Heterogeneous-Computing Interface for Portability (HIP). This course will prepare the students with the skills and knowledge required to use AMD ROCm platforms for high-performance computing applications. Students will learn how to write GPU programs using the HIP programming language, the default programming language for AMD GPUs on the ROCm platform. HIP is a C++ dialect designed to ease the conversion of CUDA applications to portable C++ code. ROCm is an open software platform for the AMD Instinct™ accelerators. This course was delivered as a collaborative effort between AMD, Northeastern University, and The College of William and Mary.You will learn Foundations of the AMD ROCm HIP Programming HIP tools Performance Tuning for HIP Programs HIPfy Examples HIP ROCm Libraries AMD ROCm MultiGPU Scaling with ExamplesDon't forget to join our Q&A community where you can get free help anytime. Attribution and credits for this course: AMD HIP Training CourseRequirements It is a self-learning course with all IDE environtments will be provided. Foundations of C/C++ Basic understanding of the High-performance computingOutcome Hands-on learning capability of AMD ROCm and HIP Scientific computing GPU Programming
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