TOWARDS THE EVOLUTION OF LEGACY APPLICATIONS TO MULTICORE SYSTEMS - Experiences Parallelizing R

2010 ◽  
Keyword(s):  
Multicore Systems ◽  
Legacy Applications

scholarly journals Sensible Energy Accounting with Abstract Metering for Multicore Systems

2016 ◽  
Vol 12 (4) ◽  
pp. 1-26 ◽  
Author(s):  
Qixiao Liu ◽  
Miquel Moreto ◽  
Jaume Abella ◽  
Francisco J. Cazorla ◽  
Daniel A. Jimenez ◽  
...  
Keyword(s):  
Multicore Systems ◽  
Energy Accounting

scholarly journals Parcus: Energy-Aware and Robust Parallelization of AUTOSAR Legacy Applications

2017 ◽  
Author(s):  
Sebastian Kehr ◽  
Eduardo Quinones ◽  
Dominik Langen ◽  
Bert Boddeker ◽  
Gunter Schafer
Keyword(s):  
Energy Aware ◽  
Legacy Applications

EXPLOITING THE MEMORY HIERARCHY OF MULTICORE SYSTEMS FOR PARALLEL TRIANGULATION REFINEMENT

2012 ◽  
Vol 22 (03) ◽  
pp. 1250007 ◽  
Author(s):  
PEDRO RODRÍGUEZ ◽  
MARÍA CECILIA RIVARA ◽  
ISAAC D. SCHERSON
Keyword(s):  
Parallel Implementation ◽  
Memory Hierarchy ◽  
Random Selection ◽  
Multicore Systems ◽  
Algorithm Performance ◽  
Bisection Algorithm ◽  
Improve Algorithm ◽  
Triangulation Refinement ◽  
Selection Of

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.

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