Invention Grant
- Patent Title: Data operations and finite state machine for machine learning via bypass of computational tasks based on frequently-used data values
-
Application No.: US17683564Application Date: 2022-03-01
-
Publication No.: US11748106B2Publication Date: 2023-09-05
- Inventor: Liwei Ma , Nadathur Rajagopalan Satish , Jeremy Bottleson , Farshad Akhbari , Eriko Nurvitadhi , Abhishek R. Appu , Altug Koker , Kamal Sinha , Joydeep Ray , Balaji Vembu , Vasanth Ranganathan , Sanjeev Jahagirdar
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: INTEL CORPORATION
- Current Assignee: INTEL CORPORATION
- Current Assignee Address: US CA Santa Clara
- Agency: JAFFERY WATSON MENDONSA & HAMILTON LLP
- Main IPC: G06F9/38
- IPC: G06F9/38

Abstract:
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.
Public/Granted literature
Information query