MORPH reformulates ZKP MSM and NTT kernels into GEMM operations for TPUs using a new Big-T complexity model, achieving up to 10x NTT throughput over GZKP.
Sharp: A short-word hierarchical accelerator for robust and practical fully homomorphic encryption
4 Pith papers cite this work. Polarity classification is still indexing.
representative citing papers
Privatar uses horizontal frequency partitioning and distribution-aware minimal perturbation to enable private offloading of VR avatar reconstruction, supporting 2.37x more users with modest overhead.
CROSS compiler maps HE workloads to TPU architecture via basis-aligned and memory-aligned transformations, reporting higher throughput-per-watt than prior GPU and ASIC libraries on NTT and HE operators.
ADS-Tile is a new scheduling framework using spatio-temporal isolation-sharing and a DAG-aware probabilistic model to cut tile usage by up to 32% and reallocation waste to under 1.2% for E2E ADS DNN pipelines on tile accelerators.
citing papers explorer
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Enabling AI ASICs for Zero Knowledge Proof
MORPH reformulates ZKP MSM and NTT kernels into GEMM operations for TPUs using a new Big-T complexity model, achieving up to 10x NTT throughput over GZKP.
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Isolation-aware Scheduling Framework for DNN-based End-to-End Autonomous Driving System on Tile-based Accelerators
ADS-Tile is a new scheduling framework using spatio-temporal isolation-sharing and a DAG-aware probabilistic model to cut tile usage by up to 32% and reallocation waste to under 1.2% for E2E ADS DNN pipelines on tile accelerators.