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04/28/2023
X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation
Tensor graph superoptimisation systems perform a sequence of subgraph su...
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03/08/2023
MCTS-GEB: Monte Carlo Tree Search is a Good E-graph Builder
Rewrite systems [6, 10, 12] have been widely employing equality saturati...
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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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04/20/2021
GDDR: GNN-based Data-Driven Routing
We explore the feasibility of combining Graph Neural Network-based polic...
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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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12/11/2020
The Future is Big Graphs! A Community View on Graph Processing Systems
Graphs are by nature unifying abstractions that can leverage interconnec...
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09/16/2019
Learning Index Selection with Structured Action Spaces
Configuration spaces for computer systems can be challenging for traditi...
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09/15/2019
Wield: Systematic Reinforcement Learning With Progressive Randomization
Reinforcement learning frameworks have introduced abstractions to implem...
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02/10/2019
Cloud Futurology
The Cloud has become integral to most Internet-based applications and us...
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10/21/2018
RLgraph: Flexible Computation Graphs for Deep Reinforcement Learning
Reinforcement learning (RL) tasks are challenging to implement, execute ...
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08/23/2018