The NAS Parallel Benchmarks (NPB) are well-known applications with fixed algorithms for evaluating parallel systems and tools. Multicore clusters provide a natural programming paradigm for hybrid programs, whereby OpenMP can be used with the data sharing with the multicores that comprise a node, and MPI can be used with the communication between nodes. In this paper, we use Scalar Pentadiagonal (SP) and Block Tridiagonal (BT) benchmarks of MPI NPB 3.3 as a basis for a comparative approach to implement hybrid MPI/OpenMP versions of SP and BT. In particular, we can compare the performance of the hybrid SP and BT with the MPI counterparts on large-scale multicore clusters, Intrepid (BlueGene/P) at Argonne National Laboratory and Jaguar (Cray X...
This paper discusses the benchmarking of three parallelized implementations of the popular LS-Dyna® ...
Big Data has an increasing impact on the use of bioinformatics software. One way to deal with this c...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...
Abstract—Chip multiprocessors (CMP) are w idely used for high performance computing and are being co...
Many/multi-core supercomputers provide a natural programming paradigm for hybrid MPI/OpenMP scientif...
Hybrid MPI/OpenMP and pure MPI on clusters of multi-core SMP nodes involve several mismatch problems...
Energy consumption is a major concern with high performance multicore systems. In this paper, we exp...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...
MPI is the predominant model for parallel programming in technical high performance computing. With ...
After a brief introduction on Cross Motif Search and its OpenMP and Hybrid OpenMP-MPI implementatio...
The mixed-mode OpenMP and MPI programming models in parallel application have significant impact on ...
The mixing of shared memory and message passing programming models within a single application has o...
The mixing of shared memory and message passing programming models within a single application has o...
Abstract. The Hybrid method of parallelization (using MPI for inter-node communication and OpenMP fo...
Hybrid programming, whereby shared memory and message passing programming techniques are combined wi...
This paper discusses the benchmarking of three parallelized implementations of the popular LS-Dyna® ...
Big Data has an increasing impact on the use of bioinformatics software. One way to deal with this c...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...
Abstract—Chip multiprocessors (CMP) are w idely used for high performance computing and are being co...
Many/multi-core supercomputers provide a natural programming paradigm for hybrid MPI/OpenMP scientif...
Hybrid MPI/OpenMP and pure MPI on clusters of multi-core SMP nodes involve several mismatch problems...
Energy consumption is a major concern with high performance multicore systems. In this paper, we exp...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...
MPI is the predominant model for parallel programming in technical high performance computing. With ...
After a brief introduction on Cross Motif Search and its OpenMP and Hybrid OpenMP-MPI implementatio...
The mixed-mode OpenMP and MPI programming models in parallel application have significant impact on ...
The mixing of shared memory and message passing programming models within a single application has o...
The mixing of shared memory and message passing programming models within a single application has o...
Abstract. The Hybrid method of parallelization (using MPI for inter-node communication and OpenMP fo...
Hybrid programming, whereby shared memory and message passing programming techniques are combined wi...
This paper discusses the benchmarking of three parallelized implementations of the popular LS-Dyna® ...
Big Data has an increasing impact on the use of bioinformatics software. One way to deal with this c...
Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distribu...