#checksum #simd #crc #crc64 #nvme

bin+lib crc64fast-nvme

SIMD accelerated CRC-64/NVME checksum calculation

2 stable releases

new 1.0.1 Dec 11, 2024
1.0.0 Sep 7, 2024

#177 in Hardware support

Download history 187/week @ 2024-09-06 19/week @ 2024-09-13 32/week @ 2024-09-20 44/week @ 2024-09-27 36/week @ 2024-10-04 40/week @ 2024-10-11 18/week @ 2024-10-18 1/week @ 2024-10-25 7/week @ 2024-11-01 3/week @ 2024-11-08 22/week @ 2024-11-15 48/week @ 2024-11-22 89/week @ 2024-11-29 219/week @ 2024-12-06

378 downloads per month

MIT/Apache

150KB
5K SLoC

crc64fast-nvme

Build status Latest Version Documentation

SIMD-accelerated carryless-multiplication CRC-64/NVME checksum computation (similar to crc32fast and forked from crc64fast which calculates CRC-64/XZ [a.k.a CRC-64/GO-ECMA]).

CRC-64/NVME comes from the NVM Express® NVM Command Set Specification (Revision 1.0d, December 2023) and has also been implemented in the Linux kernel (where it's called CRC-64/Rocksoft). Note that the Check value in the spec uses incorrect endianness (Section 5.2.1.3.4, Figure 120, page 83).

SIMD-accelerated carryless-multiplication is based on the Intel Fast CRC Computation for Generic Polynomials Using PCLMULQDQ Instruction paper.

Changes from crc64fast

Primarily changes the CRC-64/XZ (aka CRC-64/GO-ECMA) polynomial from crc64fast (which uses the ECMA-182 polynomial 0x42F0E1EBA9EA3693) to use the NVME polynomial (0xAD93D23594C93659), plus re-calculates the input parameters (tables, keys, mu, and reciprocal polynomial) for fast operations.

Usage

use crc64fast_nvme::Digest;

let mut c = Digest::new();
c.write(b"hello ");
c.write(b"world!");
let checksum = c.sum64();
assert_eq!(checksum, 0xd9160d1fa8e418e3);

CLI example

A simple CLI implementation can be found in crc_64_nvme_checksum.rs, which will calculate the CRC-64/NVME checksum for a file on disk.

Other CRC-64 implementations

Tooling to re-calculate input parameters for other CRC-64 implementations/polynomials is supplied in src\bin.

Performance

crc64fast-nvme provides two fast implementations, and the most performance one will be chosen based on CPU feature at runtime.

  • a fast, platform-agnostic table-based implementation, processing 16 bytes at a time.
  • a SIMD-carryless-multiplication based implementation on modern processors:
    • using PCLMULQDQ + SSE 4.1 on x86/x86_64
    • using PMULL + NEON on AArch64 (64-bit ARM)
Algorithm Throughput (x86_64) Throughput (aarch64)
crc 3.0.1 0.5 GiB/s 0.3 GiB/s
crc64fast-nvme (table) 2.3 GiB/s 1.8 GiB/s
crc64fast-nvme (simd) 28.2 GiB/s 20.0 GiB/s

References

License

crc64fast-nvme is dual-licensed under

Dependencies