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Merge pull request #112746 from b-juche/patch-25
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articles/azure-netapp-files/solutions-benefits-azure-netapp-files-electronic-design-automation.md

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@@ -72,9 +72,9 @@ The complete workload is a mixture of concurrently running functional and physic
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The functional phase consists of initial specifications and a logical design. The physical phase takes place when the logical design is converted to a physical chip. During the sign-off and tape-out phases, final checks are completed, and the design is delivered to a foundry for manufacturing.
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The functional phases include a mixture of sequential and random read and write I/O. The functional phases are metadata intensive, like file stat and access calls. Although metadata operations are effectively without size, the read and write operations range between less than 1 K and 16 K. Most reads are between 4 K and 16 K. Most writes are 4 K or less. The physical phases are composed of sequential read and write operations entirely, with a mixture of 32 K and 64 K OP sizes.
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The functional phase includes a mixture of sequential and random read and write I/O. The functional phase is metadata intensive, like file stat and access calls. Although metadata operations are effectively without size, the read and write operations range between less than 1 K and 16 K. Most reads are between 4 K and 16 K. Most writes are 4 K or less. The physical phase is composed of sequential read and write operations entirely, with a mixture of 32 K and 64 K OP sizes.
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In the graphs above, most of the throughput comes from the sequential physical phases of workload. The I/O comes from the small random and metadata-intensive functional phases. Both phases happen in parallel.
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In the graphs above, most of the throughput comes from the sequential physical phase of workload. The I/O comes from the small random and metadata-intensive functional phase. Both phases happen in parallel.
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In conclusion, you can pair Azure compute with Azure NetApp Files for EDA design to get scalable bandwidth.
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