System-Technology Co-Optimization for Dense Edge Architectures Using 3-D Integration and Nonvolatile Memory

High-performance edge artificial intelligence (Edge-AI) inference applications aim for high energy efficiency, memory density, and small form factor, requiring a design-space exploration across the whole stack—workloads, architecture, mapping, and co-optimization with emerging technology....

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
المؤلفون الرئيسيون:	Leandro M. Giacomini Rocha, Mohamed Naeim, Guilherme Paim, Moritz Brunion, Priya Venugopal, Dragomir Milojevic, James Myers, Mustafa Badaroglu, Marian Verhelst, Julien Ryckaert, Dwaipayan Biswas
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	IEEE 2024-01-01
الموضوعات:	3-D partitioning edge artificial intelligence (Edge-AI) nonvolatile memory (NVM) system-technology co-optimization (STCO) systolic array voltage-gated spin-orbit torque (VGSOT)
الوصول للمادة أونلاين:	https://ieeexplore.ieee.org/document/10750212/