Parallel Programming Session 5.1
Welcome to Session 5.1 of my Parallel Programming course ! Today, I will dive into the Heterogeneous-Compute Interface for Portability, or HIP, a powerful C++ runtime API that enables developers to write portable parallel applications that run efficiently on both AMD and NVIDIA GPUs. We'll explore the fundamentals of HIP programming, including synchronization, streams, memory management, kernel optimization, and multi-GPU programming. Whether you're familiar with CUDA or new to GPU programming, this session will guide you through how HIP leverages GPU acceleration for high-performance computing across different hardware platforms. Let's get started!
This introduction highlights HIP as a common programming interface for AMD and CUDA devices, explaining its purpose and key features like kernel launches, memory allocation, and streams, which are essential for parallel computing on GPUs
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