FEDERATED MANAGEMENT OF DATA OPERATORS ON NEAR-MEMORY COMPUTE NODES
Examples described herein relate to federated management of data operators across multiple near-memory compute (NMC) nodes attached to memory devices in a network-attached memory system. Federated management includes loading, executing, and scaling data operators across the multiple NMC nodes togeth...
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| creator | Milojicic, Dejan S Bresniker, Kirk M |
| description | Examples described herein relate to federated management of data operators across multiple near-memory compute (NMC) nodes attached to memory devices in a network-attached memory system. Federated management includes loading, executing, and scaling data operators across the multiple NMC nodes together as a group. Examples include receiving a data access request from a client application and loading data operators in the multiple NMC nodes based on a data access pattern associated with the data access request. Examples include scaling the data operators based on performance metrics for the data operators or the multiple NMC nodes in correlation with client application performance. The multiple NMC nodes may dynamically scale the data operators based on request-load, execution frequency of data operators, resource availability, or other scaling strategies. Examples also include loading and scaling the data operators based on one or more of request characteristics or data operator characteristics. |
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Federated management includes loading, executing, and scaling data operators across the multiple NMC nodes together as a group. Examples include receiving a data access request from a client application and loading data operators in the multiple NMC nodes based on a data access pattern associated with the data access request. Examples include scaling the data operators based on performance metrics for the data operators or the multiple NMC nodes in correlation with client application performance. The multiple NMC nodes may dynamically scale the data operators based on request-load, execution frequency of data operators, resource availability, or other scaling strategies. 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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | FEDERATED MANAGEMENT OF DATA OPERATORS ON NEAR-MEMORY COMPUTE NODES |
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