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20222026
most citedA 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference

294 citations · 338 across the 6 of their papers we have counts for

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cs.AR2026

CAMP: Context-Aware Mapping and Placement for LLMs on 3D-IMC Arrays

Orhun Görkem, Athanasios Vasilopoulos, Georgios Pagonis +6

Large Language Models (LLMs) incur severe memory-access overheads due to the cost of loading large weight matrices and key-value (KV) caches. Analog In-Memory Computing (AIMC) is a…

cs.SE2026

HELIX: HEterogeneous LLM Inference with FleXible and Fine-Grained Partitioning

Victoria Clerico, William Simon, Corey Liam Lammie +6

LLM inference is inherently heterogeneous, with performance bottlenecks shifting throughout inference phases down to individual operators. This has motivated heterogeneous serving…