We combine breakthroughs in hardware and algorithms to build the next paradigm of encrypted computing.
Our mission is to make encrypted compute, the ability to process data without ever decrypting it, a practical reality.
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We combine breakthroughs in hardware and algorithms to build the next paradigm of encrypted computing.
Our mission is to make encrypted compute, the ability to process data without ever decrypting it, a practical reality.
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The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
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An FHE IR-to-IR translator for Orion and HEIR. Built with xDSL for MLIR.
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HEonGPU is a high-performance library that optimizes Fully Homomorphic Encryption (FHE) on GPUs. Leveraging GPU parallelism, it reduces computational load through concurrent execution. Its multi-stream architecture minimizes data transfer overhead, making it ideal for large-scale encrypted computations with reduced latency.
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Database demo of the Leuvenshtein Algorithm
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