Data operations and finite state machine for machine learning via bypass of computational tasks based on frequently-used data values

Data operations and finite state machine for machine learning via bypass of computational tasks based on frequently-used data values

A mechanism is described for facilitating fast data operations and for facilitating a finite state machine for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting input data to be used in computational tasks by a computation component of a proces...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Koker, Altug, Jahagirdar, Sanjeev, Sinha, Kamal, Ray, Joydeep, Ma, Liwei, Satish, Nadathur Rajagopalan, Ranganathan, Vasanth, Vembu, Balaji, Nurvitadhi, Eriko, Bottleson, Jeremy, Akhbari, Farshad, Appu, Abhishek R
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:A mechanism is described for facilitating fast data operations and for facilitating a finite state machine for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting input data to be used in computational tasks by a computation component of a processor including a graphics processor. The method may further include determining one or more frequently-used data values (FDVs) from the data, and pushing the one or more frequent data values to bypass the computational tasks.