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Titlebook: OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence; 4th Workshop, OpenSH Manjunath Gorentla Venkata,Neena Imam,Swaroo

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樓主: GALL
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發(fā)表于 2025-3-23 09:41:19 | 只看該作者
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發(fā)表于 2025-3-23 16:57:12 | 只看該作者
Naveen Namashivayam,Bob Cernohous,Krishna Kandalla,Dan Pou,Joseph Robichaux,James Dinan,Mark Pagel
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發(fā)表于 2025-3-24 18:05:00 | 只看該作者
Portable SHMEMCache: A High-Performance Key-Value Store on OpenSHMEM and MPIe, the one-sided operations in OpenSHMEM and MPI have many differences in their interfaces, memory semantics and synchronization methods, all of which can have distinct implications and also increase the complexity in supporting both OpenSHMEM and MPI for SHMEMCache. Therefore, we have taken on an e
19#
發(fā)表于 2025-3-24 20:45:12 | 只看該作者
Balancing Performance and Portability with Containers in HPC: An OpenSHMEM Examplerunning along the typical continuum of development testbed up?to full production supercomputer (ORNL’s .). The results show consistent performance between the native and Singularity (container) tests. The results also showed an unexplained drop in performance when using the Cray Gemini network with
20#
發(fā)表于 2025-3-25 01:20:18 | 只看該作者
Exploiting and Evaluating OpenSHMEM on KNL Architectureves on different application kernels. Our evaluation of application kernels such as NAS Parallel Benchmark and 3D-Stencil kernels show that OpenSHMEM with MVPAICH2-X runtime is able to take advantage of AVX-512 extensions and MCDRAM to exploit the architectural features provided by KNL processors.
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