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Scientific computing has seen an immense growth in recent years. The Message Passing Interface (MPI) has become the de-facto standard for parallel programming model for distributed memory systems. As the system scale increases, application writers often try to increase the overlap of computation and communication. The MPI-2 standard expanded MPI to include one-sided communication semantics that has...
As high-end computing systems continue to grow in scale, the performance that applications can achieve on such large scale systems depends heavily on their ability to avoid explicitly synchronized communication with other processes in the system. Accordingly, several modern and legacy parallel programming models (such as MPI, UPC, global arrays) have provided many programming constructs that enable...
The increasing demand for computational cycles is being met by the use of multi-core processors. Having large number of cores per node necessitates multi-core aware designs to extract the best performance. The Message Passing Interface (MPI) is the dominant parallel programming model on modern high performance computing clusters. The MPI collective operations take a significant portion of the communication...
Scientific computing has seen an immense growth in recent years. MPI has become the de facto standard for parallel programming model for distributed memory systems. MPI-2 standard expanded MPI to include onesided communications. Computation and communication overlap is an important goal for one-sided applications. While the passive synchronization mechanism for MPI-2 one-sided communication allows...
Modern interconnects and corresponding high performance MPIs have been feeding the surge in the popularity of compute clusters and computing applications. Recently with the introduction of the iWARP (Internet wide area RDMA protocol) standard, RDMA and zero-copy data transfer capabilities have been introduced and standardized for Ethernet networks. While traditional Ethernet networks had largely been...
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