OPTIMIZING FOR ENERGY EFFICIENCY VIA NEAR MEMORY COMPUTE IN SCALABLE DISAGGREGATED MEMORY ARCHITECTURES

The disclosure includes a system and methods provide for optimizing performance of disaggregated memory architectures in terms of time and energy. Examples of the systems and methods disclosed herein provide for a near memory compute proximate to a disaggregated memory that can be implemented to receive, from a compute node, one or more requests to perform computation functions on data stored at the disaggregated memory and collect telemetry data for the disaggregated memory, a near memory compute proximate to the disaggregated memory, and the compute node. The systems and methods disclosed herein can also model a plurality of configurations for executing the one or more requests based on the telemetry data, select a modeled configuration of the plurality of modeled configurations for executing the one or more requests, and assign one or more of a plurality of data operators of the near memory compute according to the selected modeled configuration.