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US Patent 12093791 Partitioning for an execution pipeline

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120937910
Patent Inventor Names
Juliana Patrícia Vicente Franco0
Ryota Tomioka0
Nuno Claudino Pereira Lopes0
Siddharth Krishna0
Alberto Magni0
Renato Golin0
Date of Patent
September 17, 2024
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Patent Application Number
168548680
Date Filed
April 21, 2020
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Patent Citations
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US Patent 7870556 Managing computing resources in graph-based computations
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US Patent 9477532 Graph-data partitioning for workload-balanced distributed computation with cost estimation functions
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US Patent 9122523 Automatic pipelining framework for heterogeneous parallel computing systems
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US Patent 10437648 Guided load balancing of graph processing workloads on heterogeneous clusters
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US Patent 7716525 Low latency, high throughput data storage system
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US Patent 7844959 Runtime optimization of distributed execution graph
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Patent Primary Examiner
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Gregory B Sefcheck
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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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