Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Today most systems in high-performance computing (HPC) feature a hierarchical hardware design: Shared memory nodes with several multi-core CPUs are connected via a network infrastructure. Parallel programming must combine distributed memory parallelization on the node interconnect with shared memory parallelization inside each node.  describe potentials and challenges of the dominant programming models on hierarchically structured hardware: Pure MPI (Message Passing Interface), pure OpenMP (with distributed shared memory extensions) and hybrid MPI+OpenMP in several ?avors.  pinpoint cases where a hybrid programming model can indeed be the superior solution because of reduced communication needs and memory consumption, or improved load balance. Furthermore  show that machine topology has a signi?cant impact on performance for all parallelization strategies and that topology awareness should be built into all applications in the future. Finally  give an outlook on possible standardization goals and extensions that could make hybrid programming easier to do with performance in mind.
['Rolf Rabenseifner', 'Georg Hager', 'Gabriele Jost']
I am writing a research paper on a idea Hybrid MPI/OpenMP Parallel Programming on Clusters of Multi-Core SMP Nodes
[{"from": "human", "value": "I am writing a research paper on a idea Hybrid MPI/OpenMP Parallel Programming on Clusters of Multi-Core SMP Nodes"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Today most systems in high-performance computing (HPC) feature a hierarchical hardware design: Shared memory nodes with several multi-core CPUs are connected via a network infrastructure. Parallel programming must combine distributed memory parallelization on the node interconnect with shared memory parallelization inside each node.  describe potentials and challenges of the dominant programming models on hierarchically structured hardware: Pure MPI (Message Passing Interface), pure OpenMP (with distributed shared memory extensions) and hybrid MPI+OpenMP in several ?avors.  pinpoint cases where a hybrid programming model can indeed be the superior solution because of reduced communication needs and memory consumption, or improved load balance. Furthermore  show that machine topology has a signi?cant impact on performance for all parallelization strategies and that topology awareness should be built into all applications in the future. Finally  give an outlook on possible standardization goals and extensions that could make hybrid programming easier to do with performance in mind."}]