Minisymposium Presentation

This talk will provide valuable insights for developers and researchers in high-performance scientific computing with GPUs. We will explore the acceleration of radiation simulation using the ecRad code on NVIDIA GPUs, discussing the functional and performance-related modifications needed for code parallelization and GPU offloading.

Key optimization techniques for achieving high-performance will be highlighted, along with an in-depth analysis of the performance portability of GPU-specific modifications. Additionally, we will examine important compiler features that help balance performance, portability, and productivity, showcasing practical approaches to efficient GPU offloading. To offer a broader perspective, we will compare a fine-tuned OpenACC implementation with an optimized CUDA equivalent, illustrating the above trade-offs with these two programming approaches.