Tensor graph superoptimisation systems perform a sequence of subgraph
su...
Rewrite systems [6, 10, 12] have been widely employing equality saturati...
We explored the use of reinforcement learning (RL) agents that can learn...
Current auto-tuning frameworks struggle with tuning computer systems
con...
We explore the feasibility of combining Graph Neural Network-based polic...
RocksDB is a general-purpose embedded key-value store used in multiple
d...
Graphs are by nature unifying abstractions that can leverage
interconnec...
Configuration spaces for computer systems can be challenging for traditi...
Reinforcement learning frameworks have introduced abstractions to implem...
The Cloud has become integral to most Internet-based applications and us...
Reinforcement learning (RL) tasks are challenging to implement, execute ...
Reinforcement learning approaches have long appealed to the data managem...