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...
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| creator | 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 |
| description | 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. |
| format | Patent |
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| title | Data operations and finite state machine for machine learning via bypass of computational tasks based on frequently-used data values |
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