AVX-512 Performance Comparison: AMD Genoa vs. Intel Sapphire Rapids & Ice Lake Review

This page summarizes the projects mentioned and recommended in the original post on /r/hardware

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  • rapidyenc

    SIMD accelerated yEnc en/decode C library

  • yEnc encoding/decoding (used in Usenet binary transfers): performance is upwards of 6GB/s on one core of a modern CPU. Even if we assume a GPU has infinite performance, just the transfer to+from over a PCI-e link likely isn't much faster. yEnc also operates on bytes (which GPUs suck at relative to CPUs) and involves a fair bit of conditional data shuffling

  • ParPar

    High performance PAR2 create client for NodeJS

  • PAR2 creation (file-based error correction): the core routine here is GF(2^16) matrix multiplication. AVX512 has the GF2P8AFFINEQB instruction, which isn't present on any GPU that I know of, but massively accelerates GF multiplication. Without this instruction, you have to resort to emulating it via bitwise operations or lookup tables, which are much slower. I actually have an OpenCL implementation, but its performance is rather meh compared to CPU

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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