Opportunistic data analytics using memory bandwidth in disaggregated computing systems

A system for optimizing memory bandwidth in a disaggregated computing system, the system comprising:

• at least one processor device, wherein the at least one processor device:
• assigns respective memory devices to respective processor devices in the disaggregated computing system, the disaggregated computing system having at least a pool of the memory devices and a pool of the processor devices;
• and
• uses an iterative learning algorithm to define data boundaries of a dataset for performing an analytic function on the dataset simultaneous to a primary compute task, unrelated to the analytic function, being performed on the dataset in the pool of memory devices using memory bandwidth not currently committed to the primary compute task such that the analytic function is performed on the dataset being resident in the pool of memory devices using unused memory bandwidth otherwise allocated to the primary compute task associated with the dataset resident in the pool of memory devices to extract information to aide in processing the data resident in the pool of memory devices, thereby efficiently employing the unused memory bandwidth to prevent underutilization of the pool of memory devices.

A computer program product for optimizing memory bandwidth in a disaggregated computing system by at least one processor device, the computer program product embodied on a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:

• an executable portion that assigns respective memory devices to respective processor devices in the disaggregated computing system, the disaggregated computing system having at least a pool of the memory devices and a pool of the processor devices;
• and
• an executable portion that uses an iterative learning algorithm to define data boundaries of a dataset for performing an analytic function on the dataset simultaneous to a primary compute task, unrelated to the analytic function, being performed on the dataset in the pool of memory devices using memory bandwidth not currently committed to the primary compute task such that the analytic function is performed on the dataset being resident in the pool of memory devices using unused memory bandwidth otherwise allocated to the primary compute task associated with the dataset resident in the pool of memory devices to extract information to aide in processing the data resident in the pool of memory devices, thereby efficiently employing the unused memory bandwidth to prevent underutilization of the pool of memory devices.