Simulating DRAM-PIM-GPU systems for LLM decode shows static power dominates efficiency accounting, channel scaling plateaus, and workload mapping gives bounded gains.
PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference,
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On Design Principles for Efficient Heterogeneous DRAM-PIM-GPU Systems
Simulating DRAM-PIM-GPU systems for LLM decode shows static power dominates efficiency accounting, channel scaling plateaus, and workload mapping gives bounded gains.