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DTSTAMP:20260817T171534Z
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:Philipp Herholz, Tuur Stuyck, and Ladislav Kavan (Meta)\n\nOpt
 imized parallel implementations on GPU or CPU have dramatically enhanced t
 he fidelity, resolution and accuracy of physical simulations and mesh-base
 d algorithms. However, attaining optimal performance requires expert knowl
 edge and might demand complex code and memory layout optimizations. This a
 dds to the fact that physical simulation algorithms require the implementa
 tion of derivatives, which can be a tedious and error-prone process. \nIn 
 recent years, researchers and practitioners have investigated the concept 
 of designing systems that allow for a more expressive definition of mesh-b
 ased simulation code. These systems leverage domain-specific languages (DS
 L), automatic differentiation or symbolic computing to enhance readability
  of implementations without compromising performance. \n\nWe follow this l
 ine of work and propose a symbolic code generation approach tailored to me
 sh-based computations on parallel devices. Our system extends related work
  by incorporating collision handling and a data access synchronization app
 roach, enabling rapid sparse matrix assembly.\n\nRegistration Category: Fu
 ll Access, Full Access Supporter\n\nLanguage Format: English Language\n\nS
 ession Chair: Huamin Wang (Style3D Research)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_1044&sess=sess123
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