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DTSTAMP:20250110T023312Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241204T165300
DTEND;TZID=Asia/Tokyo:20241204T170500
UID:siggraphasia_SIGGRAPH Asia 2024_sess123_papers_1044@linklings.com
SUMMARY:A Mesh-based Simulation Framework using Automatic Code Generation
DESCRIPTION:Technical Papers\n\nPhilipp Herholz, Tuur Stuyck, and Ladislav
  Kavan (Meta)\n\nOptimized parallel implementations on GPU or CPU have dra
 matically enhanced the fidelity, resolution and accuracy of physical simul
 ations and mesh-based algorithms. However, attaining optimal performance r
 equires expert knowledge and might demand complex code and memory layout o
 ptimizations. This adds to the fact that physical simulation algorithms re
 quire the implementation of derivatives, which can be a tedious and error-
 prone process. \nIn recent years, researchers and practitioners have inves
 tigated the concept of designing systems that allow for a more expressive 
 definition of mesh-based simulation code. These systems leverage domain-sp
 ecific languages (DSL), automatic differentiation or symbolic computing to
  enhance readability of implementations without compromising performance. 
 \n\nWe follow this line of work and propose a symbolic code generation app
 roach tailored to mesh-based computations on parallel devices. Our system 
 extends related work by incorporating collision handling and a data access
  synchronization approach, enabling rapid sparse matrix assembly.\n\nRegis
 tration Category: Full Access, Full Access Supporter\n\nLanguage Format: E
 nglish Language\n\nSession Chair: Huamin Wang (Style3D Research)
URL:https://asia.siggraph.org/2024/program/?id=papers_1044&sess=sess123
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