Homomorphic encryption is a type of encryption that allows computation to be performed directly on encrypted data, without the need to first decrypt it. This has the potential to revolutionize the way sensitive data is handled, as it allows for secure processing of sensitive information without the need to expose it in the clear.
One of the most computationally intensive parts of homomorphic encryption is the processing of encrypted data. The processing can be simple additions or multiplications or even more complex like training and inference on the data. This involves performing complex mathematical operations on large numbers, which can be time-consuming and resource-intensive.
FPGAs (Field-Programmable Gate Arrays) are an ideal computing platform for speeding up homomorphic encryption, as they are highly customizable and can be optimized for specific computational tasks. Unlike CPUs (Central Processing Units) and GPUs (Graphics Processing Units), which are general-purpose computing devices, FPGAs can be tailored to perform specific tasks more efficiently.
One of the main advantages of FPGAs is their ability to parallelize computations. While CPUs and GPUs can only perform a limited number of operations in parallel, FPGAs can perform many operations at the same time, which can significantly speed up the processing of encrypted data.
In addition to their ability to parallelize computations, FPGAs are also more power-efficient than CPUs and GPUs. This is important for applications that require a large number of computations to be performed, as it can help to reduce energy costs and extend the lifespan of the device.
FPGAs are an ideal platform for homomorphic encryption due to their ability to parallelize computations and their power-efficiency. They offer a powerful and efficient way to perform the complex mathematical operations required for homomorphic encryption, making them a key technology for secure data processing.
However, FPGAs are hard to deploy and scale and quite challenging to be integrated with high level framework like MS SEAL. InAccel, with its unique framework for easy deployment at scale can utilize FPGAs for HE easier than ever. InAccel can provide the missing layer that allows easy deployment and integration of FPGAs with frameworks like SEAL in order to speedup homomorphic encryption and provide more cost efficient solutions.
InAccel is utilizing the power of the Intel FPGAs and Intel HEXL IP cores to speedup significantly the homomorphic encryption and provide a scalable solution for FPGAs on the cloud or on prem.