Level 2 Reformulation Linearization Technique-Based Parallel Algorithms for Solving Large Quadratic Assignment Problems on Graphics Processing Unit Clusters.
Ketan DateRakesh NagiPublished in: INFORMS J. Comput. (2019)
Keyphrases
- parallel algorithm
- parallel computation
- parallel programming
- compute unified device architecture
- quadratic assignment problem
- message passing interface
- shared memory
- graphics processors
- cpu implementation
- graphics processing units
- parallel computing
- combinatorial optimization
- general purpose
- parallel implementation
- real time
- parallel processing
- processing units
- branch and bound
- fine grained
- evolutionary algorithm
- lower bound
- objective function