A new technical paper, “Not All Thoughts Need HBM: Semantics-Aware Memory Hierarchy for LLM Reasoning,” was published by researchers at USC and University of Wisconsin-Madison. Abstract “Reasoning LLMs produce thousands of chain-of-thought tokens whose KV cache must reside in scarce GPU HBM. The dominant response — permanently evicting low-importance tokens — is catastrophic for reasoning:... » read more The post Four-Tier Memory Hierarchy for LLM Reasoning (USC, UW) appeared first on Semiconductor Engineering .
Source: Semiconductor Engineering — read the full report at the original publisher.