US Patent 12093791 Partitioning for an execution pipeline
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US Patent 12093791 Partitioning for an execution pipeline
Article
Patent abstract
A computation graph of a machine learning model is accessed from memory and a constraint solver is used to compute a partition of the computation graph into ordered stages of an execution pipeline. In use, when inference or training of the machine learning model takes place by executing the pipeline, execution cost of the stages are balanced according to the computed partition.
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Patent Jurisdiction
Patent Number
Patent Inventor Names
Alberto Magni0
Juliana Patrícia Vicente Franco0
Nuno Claudino Pereira Lopes0
Renato Golin0
Ryota Tomioka0
Siddharth Krishna0
Date of Patent
September 17, 2024
0Patent Application Number
168548680
Date Filed
April 21, 2020
0Patent Citations
Patent Primary Examiner
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