PARTITIONING FOR AN EXECUTION PIPELINE

PARTITIONING FOR AN EXECUTION PIPELINE

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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: CLAUDINO PEREIRA LOPES, Nuno, VICENTE FRANCO, Juliana Patrícia, KRISHNA, Siddharth, MAGNI, Alberto, GOLIN, Renato, TOMIOKA, Ryota
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung: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.