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• W2047994747 abstract "Although large scale high performance computing today typically relies on message passing, shared memory can offer significant advantages, as the overhead associated with MPI is completely avoided. In this way, we have developed an FPGA-based Shared Memory Engine that allows to forward memory transactions, like loads and stores, to remote memory locations in large clusters, thus providing a single memory address space. As coherency protocols do not scale with system size we completely avoid a global coherency across the cluster. However, we maintain local coherency domains, thus keeping the cores within one node coherent. In this paper, we show the suitability of our approach by analyzing the performance of barriers, a very common synchronization primitive in parallel programs. Experiments in a real cluster prototype show that our approach allows synchronization among 1024 cores spread over 64 nodes in less than 15us, several times faster than other highly optimized barriers. We show the feasibility of this approach by executing a shared-memory implementation of FFT. Finally, note that this barrier can also be leveraged by MPI applications running on our shared memory architecture for clusters. This ensures the usefulness of this work for applications already written." @default.
• W2047994747 created "2016-06-24" @default.
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• W2047994747 date "2011-12-01" @default.
• W2047994747 modified "2023-09-25" @default.
• W2047994747 title "Highly scalable barriers for future high-performance computing clusters" @default.
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• W2047994747 doi "https://doi.org/10.1109/hipc.2011.6152729" @default.
• W2047994747 hasPublicationYear "2011" @default.
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