Skip to content

A homomorphic encryption accelerator for fast matrix-vector product

License

Notifications You must be signed in to change notification settings

AntChainOpenLabs/CHAM

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

CHAM

A Customized Homomorphic Encryption Accelerator for Fast Matrix-Vector Product

The CHAM project is initiated by Alibaba DAMO Academy CTL and Ant Group's AntChain.

CHAM is a customized homomorphic encryption accelerator for fast matrix-vector product. Homomorphic encryption (HE), enabling computation on encrypted data, suffers from poor performance due to enlarged data size and exploded amount of computation. Existing HE accelerators either target small HE operations or fail to support fast-evolving HE algorithms. To better support various privacy-preserving applications (e.g., logistic regression and neural-network inference), we propose CHAM for high-performance matrix-vector product, which can be easily extended to 2D/3D convolutions.

The code in this repository is released by Alibaba DAMO Academy CTL, Ant Group's AntChain and Ant Research under MIT License.

The distribution is developed as part of our DAC2023 paper called "CHAM: A Customized Homomorphic Encryption Accelerator for Fast Matrix-Vector Product". This distribution is an open-source version of our commercial accelerator and not ready for production use.

Table of contents

Directory structure

The directory structure is as follows:

Build guide

You need install Python3 and Vivado before simulation

If you use VCS, you may need to run as follows:

  1. Generate xilinx vcs lib in ./xilinx_vcs_lib
  2. Modify sim/vcs/tb_top.sh line 48 to your vcs path
  3. cd sim
  4. make clean //remove the previous run_dir
  5. ./run_case //test name is showing below in Test cases

test_stg_0_0: test single stage at stage 0, and test only ksk ram init path test_stg_0_1: test single stage at stage 0, and test only preprocess init path test_stg_1: test single stage at stage 1 test_stg_2: test single stage at stage 2 test_stg_3: test single stage at stage 3 test_stg_4: test single stage at stage 4 test_stg_5: test single stage at stage 5 test_stg_6: test single stage at stage 6 test_stg_7: test single stage at stage 7 test_stg_8: test single stage at stage 8 test_stg_9: test single stage at stage 9 test_stg_10: test single stage at stage 10 test_row: test all stages in a row test_full_no_uram_4x4096: test full case, the test vector is 4x4096. we use testbench to init ksk ram instead of design test_full_4x4096: test full case, the test vector is 4x4096. test_full_4x4096: test full case, the test vector is 4x4096.

If you use Vivado XSIM, you may need to run as follows:

  1. cd sim
  2. make partial_sim or make full_sim
  3. make clean

License

MIT License

This product contains several third-party components under other open source licenses.

src/axi/axi_read_master.sv          BSD-2-Clause        Vitis-Tutorials
src/axi/axi_write_master.sv         BSD-2-Clause        Vitis-Tutorials
src/axi/counter.sv                  BSD-2-Clause        Vitis-Tutorials

About

A homomorphic encryption accelerator for fast matrix-vector product

Resources

License

Stars

Watchers

Forks

Packages

 
 
 

Languages

  • SystemVerilog 43.1%
  • Verilog 40.7%
  • C++ 11.9%
  • Python 1.9%
  • Scala 1.1%
  • Shell 0.7%
  • Other 0.6%