An analytic computation-driven algorithm for Decentralized Multicore Systems

2019 ◽  
Vol 96 ◽  
pp. 101-110 ◽  
Author(s):  
Yezhi Lin ◽  
Xinyuan Jin ◽  
Jiuqiang Chen ◽  
Ali Hassan Sodhro ◽  
Zhifang Pan
2016 ◽  
Vol 12 (4) ◽  
pp. 1-26 ◽  
Author(s):  
Qixiao Liu ◽  
Miquel Moreto ◽  
Jaume Abella ◽  
Francisco J. Cazorla ◽  
Daniel A. Jimenez ◽  
...  

2012 ◽  
Vol 22 (03) ◽  
pp. 1250007 ◽  
Author(s):  
PEDRO RODRÍGUEZ ◽  
MARÍA CECILIA RIVARA ◽  
ISAAC D. SCHERSON

A novel parallelization of the Lepp-bisection algorithm for triangulation refinement on multicore systems is presented. Randomization and wise use of the memory hierarchy are shown to highly improve algorithm performance. Given a list of selected triangles to be refined, random selection of candidates together with pre-fetching of Lepp-submeshes lead to a scalable and efficient multi-core parallel implementation. The quality of the refinement is shown to be preserved.


Sign in / Sign up

Export Citation Format

Share Document