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10/07/2022
Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR
Large neural network models are commonly trained through a combination o...
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05/03/2022
RLFlow: Optimising Neural Network Subgraph Transformation with World Models
We explored the use of reinforcement learning (RL) agents that can learn...
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12/16/2021
BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters
Current auto-tuning frameworks struggle with tuning computer systems con...
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03/30/2021
High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB
RocksDB is a general-purpose embedded key-value store used in multiple d...
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09/30/2019
