Invention Grant
- Patent Title: Deep learning inference efficiency technology with early exit and speculative execution
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Application No.: US18519674Application Date: 2023-11-27
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Publication No.: US12211260B2Publication Date: 2025-01-28
- Inventor: Haim Barad , Barak Hurwitz , Uzi Sarel , Eran Geva , Eli Kfir , Moshe Island
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Akona IP PC
- Main IPC: G06V10/82
- IPC: G06V10/82 ; G06F30/33 ; G06N3/04 ; G06V10/44 ; G06V10/94

Abstract:
Systems, apparatuses and methods may provide for technology that processes an inference workload in a first subset of layers of a neural network that prevents or inhibits data dependent branch operations, conducts an exit determination as to whether an output of the first subset of layers satisfies one or more exit criteria, and selectively bypasses processing of the output in a second subset of layers of the neural network based on the exit determination. The technology may also speculatively initiate the processing of the output in the second subset of layers while the exit determination is pending. Additionally, when the inference workloads include a plurality of batches, the technology may mask one or more of the plurality of batches from processing in the second subset of layers.
Public/Granted literature
- US20240104916A1 DEEP LEARNING INFERENCE EFFICIENCY TECHNOLOGY WITH EARLY EXIT AND SPECULATIVE EXECUTION Public/Granted day:2024-03-28
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