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In-memory computing accelerators for emerging learning paradigms
Over the past decades, emerging, data-driven machine learning (ML) paradigms have
increased in popularity, and revolutionized many application domains. To date, a substantial …
increased in popularity, and revolutionized many application domains. To date, a substantial …
Robust implementation of retrieval-augmented generation on edge-based computing-in-memory architectures
Cross-Layer Modeling and Design of Content Addressable Memories in Advanced Technology Nodes for Similarity Search
In this article, we present a comprehensive design and benchmarking study of content
addressable memory (CAM) at the 7-nm technology node in the context of similarity search …
addressable memory (CAM) at the 7-nm technology node in the context of similarity search …
Flips: A Flexible Partitioning Strategy Near Memory Processing Architecture for Recommendation System
Y Qiu, L Lu, S Yi, M **g, X Zeng… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Personalized recommendation systems are massively deployed in production data centers.
The memory-intensive embedding layers of recommendation systems are the crucial …
The memory-intensive embedding layers of recommendation systems are the crucial …
Smoothing Disruption Across the Stack: Tales of Memory, Heterogeneity, & Compilers
Multiple research vectors represent possible paths to improved energy and performance
metrics at the application-level. There are active efforts with respect to emerging logic …
metrics at the application-level. There are active efforts with respect to emerging logic …
A 5T-2MTJ STT-assisted Spin Orbit Torque based Ternary Content Addressable Memory for Hardware Accelerators
In this work, we present a novel non-volatile spin transfer torque (STT) assisted spin-orbit
torque (SOT) based ternary content addressable memory (TCAM) with 5 transistors and 2 …
torque (SOT) based ternary content addressable memory (TCAM) with 5 transistors and 2 …