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README.md
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@ -14,6 +14,10 @@ This is also a **SM3** implementation whose performance is similar like golang n
For **SM4** implementation, SIMD & AES-NI are used under **amd64** and **arm64**, for detail please refer [SM4性能优化](https://github.com/emmansun/gmsm/wiki/SM4%E6%80%A7%E8%83%BD%E4%BC%98%E5%8C%96), support CBC/CFB/OFB/CTR/GCM/CCM/XTS modes.
For **SM9** implementation, please reference [sm9/bn256 README.md](https://github.com/emmansun/gmsm/tree/main/sm9/bn256).
For **ZUC** implementation, SIMD, AES-NI and CLMUL are used under **amd64** and **arm64**, for detail please refer [Efficient Software Implementations of ZUC](https://github.com/emmansun/gmsm/wiki/Efficient-Software-Implementations-of-ZUC)
**SM2 encryption Benchmark**
CPU: i5-9500

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This part codes mainly refer two projects:
1. [bn256](https://github.com/cloudflare/bn256), 主要是基域运算
2. [gmssl sm9](https://github.com/guanzhi/GmSSL/blob/develop/src/sm9_alg.c)，主要是2-4-12塔式扩域，以及r-ate等
1. [bn256](https://github.com/cloudflare/bn256), 主要是基域运算。这个项目的主要问题在于测试太少。
2. [gmssl sm9](https://github.com/guanzhi/GmSSL/blob/develop/src/sm9_alg.c)，主要是2-4-12塔式扩域，以及r-ate等。这个项目的主要问题在于性能没有怎么优化。基于性能考虑，后续r-rate还是参考了bn256的op-ate，并结合sm9的特殊性做了适应性改造。
3. [SM9 precompute pairing per master public key level](https://github.com/emmansun/gmsm/discussions/60)。
4. G1, G2曲线倍点运算预计算。