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DTSTART:19700308T020000
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DTSTAMP:20260202T201259Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251121T080000
DTEND;TZID=America/Chicago:20251121T120000
UID:submissions.supercomputing.org_SC25_sess620_post228@linklings.com
SUMMARY:Massively Parallel GPU Rasterizer for Next-Generation Computationa
 l Lithography
DESCRIPTION:Loay Hegazy, Mohamed Taher, and Sherif Hammouda (Siemens EDA)\
 n\nIn electronic design automation (EDA), traditional rasterization algori
 thms suffer from poor speedup and accuracy when managing large and complex
  semiconductor designs, limiting efficiency in optical proximity correctio
 n (OPC) processes. To overcome these challenges, we developed a GPU-based 
 rasterization algorithm that employs floating-point precision and tile-bas
 ed, warp-cooperative strategies. This approach significantly boosts perfor
 mance, achieving up to 290x speedup for Manhattan shapes and 45x for curvi
 linear shapes over conventional CPU methods, while maintaining errors belo
 w 1% against CPU results. Our solution enhances both computational efficie
 ncy and geometric accuracy in nanometer-scale tasks. During the poster ses
 sion, we will present our methodology, showcase performance results, and i
 llustrate how advanced GPU optimization effectively addresses the limitati
 ons of traditional rasterization workflows in EDA.\n\nTag: Research & ACM 
 SRC Posters\n\nRegistration Category: Technical Program Reg Pass\n\nSessio
 n Chairs: Kento Sato (RIKEN Center for Computational Science (R-CCS)); Anj
 a Gerbes (Georg-August-Universität Göttingen); and Chris Schlipalius (Paws
 ey Supercomputing Research Centre; Commonwealth Scientific and Industrial 
 Research Organisation (CSIRO), Australia)\n\n
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