Concrete Cuda
Introduction
Concrete-cuda holds the code for GPU acceleration of Zama's variant of TFHE. It is one of the backends of the Concrete Compiler. It implements CUDA/C++ functions to perform homomorphic operations on LWE ciphertexts.
It provides functions to allocate memory on the GPU, to copy data back and forth between the CPU and the GPU, to create and destroy Cuda streams, etc.:
cuda_create_stream,cuda_destroy_streamcuda_malloc,cuda_check_valid_malloccuda_memcpy_async_to_cpu,cuda_memcpy_async_to_gpucuda_get_number_of_gpuscuda_synchronize_deviceThe cryptographic operations it provides are:- an amortized implementation of the TFHE programmable bootstrap:
cuda_bootstrap_amortized_lwe_ciphertext_vector_32andcuda_bootstrap_amortized_lwe_ciphertext_vector_64 - a low latency implementation of the TFHE programmable bootstrap:
cuda_bootstrap_low latency_lwe_ciphertext_vector_32andcuda_bootstrap_low_latency_lwe_ciphertext_vector_64 - the keyswitch:
cuda_keyswitch_lwe_ciphertext_vector_32andcuda_keyswitch_lwe_ciphertext_vector_64 - the larger precision programmable bootstrap (wop PBS, which supports up to 16 bits of message while the classical PBS only supports up to 8 bits of message) and its sub-components:
cuda_wop_pbs_64,cuda_extract_bits_64,cuda_circuit_bootstrap_64,cuda_cmux_tree_64,cuda_blind_rotation_sample_extraction_64 - acceleration for leveled operations:
cuda_negate_lwe_ciphertext_vector_64,cuda_add_lwe_ciphertext_vector_64,cuda_add_lwe_ciphertext_vector_plaintext_vector_64,cuda_mult_lwe_ciphertext_vector_cleartext_vector.
Dependencies
Disclaimer: Compilation on Windows/Mac is not supported yet. Only Nvidia GPUs are supported.
- nvidia driver - for example, if you're running Ubuntu 20.04 check this page for installation
- nvcc >= 10.0
- gcc >= 8.0 - check this page for more details about nvcc/gcc compatible versions
- cmake >= 3.24
Build
The Cuda project held in concrete-cuda can be compiled independently from Concrete in the
following way:
git clone git@github.com:zama-ai/concrete
cd backends/concrete-cuda/implementation
mkdir build
cd build
cmake ..
make
The compute capability is detected automatically (with the first GPU information) and set accordingly.
Links
License
This software is distributed under the BSD-3-Clause-Clear license. If you have any questions,
please contact us at hello@zama.ai.