Scaling Scientific Computing with NVSHMEM – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-21T20:30:26Z http://www.open-lab.net/blog/feed/ Naoya Maruyama <![CDATA[Scaling Scientific Computing with NVSHMEM]]> http://www.open-lab.net/blog/?p=18979 2023-02-13T17:45:04Z 2020-08-25T17:23:15Z Figure 1. In the NVSHMEM memory model, each process (PE) has private memory, as well as symmetric memory that forms a partition of the partitioned global...]]> Figure 1. In the NVSHMEM memory model, each process (PE) has private memory, as well as symmetric memory that forms a partition of the partitioned global...

When you double the number of processors used to solve a given problem, you expect the solution time to be cut in half. However, most programmers know from experience that applications tend to reach a point of diminishing returns when increasing the number of processors being used to solve a fixed-size problem. How efficiently an application can use more processors is called parallel��

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