Unfortunately, in many cases these straightforward paral- lelization strategies encounter performance problems due to the irregularity of the data accesses.

We compare our presented hierarchical clustering partitioner, ParCubed, with GPart and METIS in terms of partitioning speed, partitioning quality, and the ...

Graph partitioners play an important role in many parallel computation and data distribution schemes and locality optimization approaches.

We compare our presented hierarchical clustering partitioner, ParCubed, with GPart and METIS in terms of partitioning speed, partitioning quality, and the ...

TL;DR: This paper presents a shared memory parallel graph partitioner, ParCubed, for use in the context of sparse tiling run-time data and computation ...

We find that the presented partitioner is 25 to 100 times faster than METIS on a 16 core machine. The total edge cut of the partitioning generated by ParCubed ...

The ParCubed graph partitioner is designed to quickly partition graphs expressed as CSR sparse matrices using shared memory. It typically generates results ...

Graph partitioners play an important role in many parallel computation and data distribution schemes and locality optimization approaches.

A Fast Parallel Graph Partitioner for Shared-Memory Inspector/Executor Strategies. Chapter © 2013. Defining Parallel Local Search Procedures with Neighborhood ...

공동 저자 ; A fast parallel graph partitioner for shared-memory inspector/executor strategies. CD Krieger, MM Strout. Languages and Compilers for Parallel ...