Add to ORKGBranch&Bound (B&B) is a technique widely used to solve combinatorial optimization problems in physics and engineering science. In this paper we show how the combined use of PVM and OpenMP libraries can be a promising approach to exploit the intrinsic parallel nature of this class of application and to obtain efficient code for hybrid computational architectures. We described how both the shared memory and the distributed memory programming models can be applied to implement the same algorithm for the inter-nodes and intra-node parallelization. Some experimental tests on a local area network (LAN) of workstations are finally discussed
Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both memory co...
We report our experiences using the parallel programming environments, PVM, HeNCE, p4 and TCGMSG and...
Typically, in scientific parallel algorithms, a process based approach is used, i.e., each process h...
Branch&Bound (B&B) is a technique widely used to solve combinatorial optimization problems in physic...
Branch&Bound (B&B) is a technique widely used to solve combinatorial optimization problems in physic...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...
Clusters of shared-memory multiprocessors (SMPs) have become the most promising parallel computing p...
Clusters of shared-memory multiprocessors (SMPs) have become the most promising parallel computing p...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...
The mixing of shared memory and message passing programming models within a single application has o...
Nowadays clusters are one of the most used platforms in High Performance Computing and most programm...
Maximizing the productivity of modern multicore and manycore chips requires optimizing parallelism a...
OpenMP has established itself as the de facto standard for parallel programming on shared-memory pla...
In this paper we show, through a case-study, how the adoption of the MPI model for the distributed p...
OpenMP has emerged as the de facto standard for writing parallel programs on shared address space pl...
Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both memory co...
We report our experiences using the parallel programming environments, PVM, HeNCE, p4 and TCGMSG and...
Typically, in scientific parallel algorithms, a process based approach is used, i.e., each process h...
Branch&Bound (B&B) is a technique widely used to solve combinatorial optimization problems in physic...
Branch&Bound (B&B) is a technique widely used to solve combinatorial optimization problems in physic...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...
Clusters of shared-memory multiprocessors (SMPs) have become the most promising parallel computing p...
Clusters of shared-memory multiprocessors (SMPs) have become the most promising parallel computing p...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...
The mixing of shared memory and message passing programming models within a single application has o...
Nowadays clusters are one of the most used platforms in High Performance Computing and most programm...
Maximizing the productivity of modern multicore and manycore chips requires optimizing parallelism a...
OpenMP has established itself as the de facto standard for parallel programming on shared-memory pla...
In this paper we show, through a case-study, how the adoption of the MPI model for the distributed p...
OpenMP has emerged as the de facto standard for writing parallel programs on shared address space pl...
Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both memory co...
We report our experiences using the parallel programming environments, PVM, HeNCE, p4 and TCGMSG and...
Typically, in scientific parallel algorithms, a process based approach is used, i.e., each process h...