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Source code of "GPU-accelerated elliptic curve digital signature algorithms", accepted by SC'22 - by Zonghao Feng, Qipeng Xie, Qiong Luo, etc.

License: Apache License 2.0

C++ 19.59% Cuda 78.32% C 1.93% CMake 0.12% Dockerfile 0.04%
cuda ecdsa gpu nvidia sm2

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dloghin bakd247 pdominguezw rid7 linguohua

rapidec's Issues

fixed_point_mult module bug

Recently, I have been learning about CUDA programming and digital signatures, and I am fortunate to have seen this project and have benefited greatly. When I saw the fixed point multiplication calculation, I tested it separately and found that the correct fixed point multiplication results can only be generated when the TPI is 8 in 256bit storage, and the calculated results are consistent and incorrect at 256bit, TPI=16, and 512bit, TPI=8, and TPI=16. I want to ask the reason for the error. Thank you.

Parameter tuning

  • Fix the number of instances, change the number of threads per instance.
  • FIx the number of threads per instance, change the number of instances.

Find how does performance change and what is the best parameter setting.

Measure memory transfer cost

In gsv.cu/test_sig_verify(), measure the time cost of memory transfer between CPU and GPU using gettimeofday or CUDA event.

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