The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Poster Type: Research Posters
Author: Loay Hegazy (Siemens EDA), Mohamed Taher (Siemens EDA), Sherif Hammouda (Siemens EDA)
Supervisor:
Abstract: In electronic design automation (EDA), traditional rasterization algorithms suffer from poor speedup and accuracy when managing large and complex semiconductor designs, limiting efficiency in optical proximity correction (OPC) processes. To overcome these challenges, we developed a GPU-based rasterization algorithm that employs floating-point precision and tile-based, warp-cooperative strategies. This approach significantly boosts performance, achieving up to 290x speedup for Manhattan shapes and 45x for curvilinear shapes over conventional CPU methods, while maintaining errors below 1% against CPU results. Our solution enhances both computational efficiency and geometric accuracy in nanometer-scale tasks. During the poster session, we will present our methodology, showcase performance results, and illustrate how advanced GPU optimization effectively addresses the limitations of traditional rasterization workflows in EDA.
Best Poster Finalist (BP): no
Poster: PDF
Poster Summary: PDF