RECONFIGURABLE COMPUTING FABRIC FOR MACHINE LEARNING PROCESSING
One example provides a reconfigurable computing fabric to manage machine learning (ML) processing including a configurable interconnect structure and a number programmable logic blocks each having a configurable set of operations. For each of a number of fabric configurations of the computing fabric...
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Format | Patent |
Language | English |
Published |
07.12.2023
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Abstract | One example provides a reconfigurable computing fabric to manage machine learning (ML) processing including a configurable interconnect structure and a number programmable logic blocks each having a configurable set of operations. For each of a number of fabric configurations of the computing fabric, each programmable logic block has a corresponding set of operations and the interconnect structure has a corresponding data path structure to interconnect the programmable logic blocks with one another and with inputs and outputs of the computing fabric. The programmable logic blocks include an input/output block having a set of operations including to provide virtual interfaces to receive external session requests for ML processing from request sources, and an elastic AI/ML processing block having a set of operations including to configure a number of AI/ML engines with a session implementation for each external session request and each of a number of event-driven internal session requests. |
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AbstractList | One example provides a reconfigurable computing fabric to manage machine learning (ML) processing including a configurable interconnect structure and a number programmable logic blocks each having a configurable set of operations. For each of a number of fabric configurations of the computing fabric, each programmable logic block has a corresponding set of operations and the interconnect structure has a corresponding data path structure to interconnect the programmable logic blocks with one another and with inputs and outputs of the computing fabric. The programmable logic blocks include an input/output block having a set of operations including to provide virtual interfaces to receive external session requests for ML processing from request sources, and an elastic AI/ML processing block having a set of operations including to configure a number of AI/ML engines with a session implementation for each external session request and each of a number of event-driven internal session requests. |
Author | Campbell, Robert Wang, Lan Subramaniam, Ravi Shankar Jeansonne, Jeffrey Kevin Mohrman, Christopher Charles |
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Snippet | One example provides a reconfigurable computing fabric to manage machine learning (ML) processing including a configurable interconnect structure and a number... |
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SubjectTerms | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
Title | RECONFIGURABLE COMPUTING FABRIC FOR MACHINE LEARNING PROCESSING |
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