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BlockLock: Reproducible LLM Inference with Fixed Batch Geometry
Not specified in the abstract
LLM inferencebatch processingperformance optimization
2611.06977
Builder Relevance
3h ago80%
Abstract
BlockLock presents a method for reproducible LLM inference that maintains consistent output across varying batch requests.
Reality Card
Core Claim
BlockLock significantly reduces latency by 53.5-55.0% and improves throughput by 115.2-122.2% compared to existing batch-invariant solutions while preserving output consistency.
Method / Result
BlockLock-Rows reduces latency by 53.5-55.0% and improves throughput by 115.2-122.2%.
Limitations
The method's performance is evaluated under specific deployment conditions, which may limit generalizability.
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