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Benchmarking Intel, AMD and Graviton Using Erasure Coding Workloads

53 pointsby edogrideralmost 2 years ago

4 comments

gigatexalalmost 2 years ago
Interesting to see Intel still being rather competitive here. My biases had me going in thinking AMD would walk away with the win.<p>The conclusion:<p>&quot;Analysis and Conclusion<p>With this test we were looking to confirm that Erasure Coding on commodity hardware can be every bit as fast as dedicated hardware - without the cost or lock-in. We are happy to confirm that even running at top-of-class NIC speeds we will only use a minor fraction of CPU resources for erasure coding on all of the most popular platforms.<p>This means that the CPU can spend its resources on handling IO and other parts of the requests, and we can reasonably expect that any handling of external stream processors would take at least an equivalent amount of resources.<p>We are happy to see that Intel improved throughput on their latest platform. We look forward to testing the most recent AMD platform, and we expect its AVX512 and GFNI support to provide a further performance boost. Even if Graviton 3 turned out to be a bit behind, we don’t realistically see it becoming a significant bottleneck. For more detailed information about installing, running, and using MinIO in any environment, please refer to our documentation. To learn more about MinIO or get involved in our community, please visit us at min.io or join our public slack channel.&quot;
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zokieralmost 2 years ago
Its really weird how poorly EPYC fares in the reconstruction benchmarks, what&#x27;s going on there?
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supriyo-biswasalmost 2 years ago
This isn’t really relevant to the article, but are there any file systems which can store files using erasure coding? (As opposed to using something like MinIO)
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davedxalmost 2 years ago
Tl;dr: CPU isn’t a bottleneck for content delivery services. Not really surprising
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