In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
In this paper, we evaluate an adaptive loop parallelization strategy (i.e., a strategy that allows each loop nest to execute using different number of processors if doing so is be...
Ismail Kadayif, Mahmut T. Kandemir, Mustafa Karak&...
The UCLA Parallel Particle-in-Cell (UPIC) Framework, is designed to provide trusted components for building a variety of parallel Particle-in-Cell (PIC) codes. It is based on the ...
Understanding the potential and implications of asymmetric multi-core processors for cluster computing is necessary, as these processors are rapidly becoming mainstream components...
Filip Blagojevic, Matthew Curtis-Maury, Jae-Seung ...
We present design and implementation details as well as performance results for two new parallel checkpointing libraries developed by us for parallel MPI applications. The first o...