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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Main Authors Jeansonne, Jeffrey Kevin, Mohrman, Christopher Charles, Wang, Lan, Subramaniam, Ravi Shankar, Campbell, Robert
Format Patent
LanguageEnglish
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.
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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