Architecture of crossbar of inference engine
AssigneeCavium, Inc.
InventorsAvinash SODANI, Ulf HANEBUTTE, Senad DURAKOVIC, Hamid Reza GHASEMI, Chia-Hsin CHEN
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AssigneeCavium, Inc.
InventorsAvinash SODANI, Ulf HANEBUTTE, Senad DURAKOVIC, Hamid Reza GHASEMI, Chia-Hsin CHEN
Estimating the term…
A programmable hardware system for machine learning (ML) includes a core and an inference engine. The core receives commands from a host. The commands are in a first instruction set architecture (ISA) format. The core divides the commands into a first set for performance-critical operations, in the first ISA format, and a second set of performance non-critical operations, in the first ISA format. The core executes the second set to perform the performance non-critical operations of the ML operations and streams the first set to inference engine. The inference engine generates a stream of the first set of commands in a second ISA format based on the first set of commands in the first ISA format. The first set of commands in the second ISA format programs components within the inference engine to execute the ML operations to infer data.
A crossbar-based inference engine configured to perform a machine learning (ML) operation on an input data stream, comprising:
A method to perform a machine learning (ML) operation on an input data stream via an inference engine, comprising:
Dependencies are inferred from the claim text.