ChipLight is a multi-objective optimization framework that co-designs chiplet hardware, training parallelism, and optical networks to improve efficiency in distributed LLM training clusters.
Deep learning training in facebook data centers: Design of scale-up and scale-out systems
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
Introduces STCA for linear-complexity target-to-history attention, RLB for shared user encoding across targets, and length-extrapolative training to enable end-to-end 10K sequence modeling with observed scaling-law gains and production deployment improvements.
citing papers explorer
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ChipLight: Cross-Layer Optimization of Chiplet Design with Optical Interconnects for LLM Training
ChipLight is a multi-objective optimization framework that co-designs chiplet hardware, training parallelism, and optical networks to improve efficiency in distributed LLM training clusters.
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Make It Long, Keep It Fast: End-to-End 10K Long User Behavior Sequence Modeling for Billion-Scale Douyin Recommendation
Introduces STCA for linear-complexity target-to-history attention, RLB for shared user encoding across targets, and length-extrapolative training to enable end-to-end 10K sequence modeling with observed scaling-law gains and production deployment improvements.