2 papers
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…