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𝑆 2 Loop: Explore Optimal Authentication Block Strategy for ML

This paper introduces 𝑆 2 Loop, a framework that introduces a flexible, all-level partitioning based AuthBlocks for ensuring full coverage of the entire design space, a realistic layout-based memory model, and an Authentication-Layout-Mapping co-search algorithm to explore the drastic combinatorial design space to figu...

J. Strzeszynski, Jianming Tong, Kyungmi Lee et al. · 0 citations
Preprint Sep 2026

AccelForge: Comprehensive Modeling and Co-Design Framework for AI Accelerators

Tensor algebra workloads, of which deep neural networks are prominent examples, are energy-intensive workloads in modern datacenter and edge deployments, making accelerators necessary to achieve energy efficiency and high throughput. To quickly evaluate and iterate on accelerator designs, we need an accelerator modelin...

Tanner Andrulis, Michael Gilbert, Vivienne Sze et al. · 0 citations

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