Abstract: Systems and methods for processing tasks are disclosed. A processing circuit is configured to: identify first data associated with a task associated with a machine learning program; determine a first attribute associated with the first data; provide the first data to a first device based on determining the first attribute; identify second data associated with the task associated with the machine learning program; determine a second attribute associated with the second data; and provide the second data to a second device different from the first device, wherein the machine learning program is configured to generate a result based on an input.

Abstract: A method for data storage includes receiving, by a storage device, a read request for data, the read request being associated with a request size, determining that a first cache area associated with a first portion of the data is in a first portion of a cache, the first cache area having a first size that is smaller than the request size, determining that a second cache area associated with a second portion of the data is in a second portion of the cache, the second cache area having a second size that is smaller than the request size and differently sized than the first size, and based on the read request, reading the first portion of the data from the first cache area and reading the second portion of the data from the second cache area.

Abstract: One or more embodiments of the present disclosure describe a storage system comprising a first storage medium, a second storage medium, and a controller configured to communicate with the first storage medium and the second storage medium. The controller is configured to receive a first request generated by a process associated with first data; determine that the first data is stored in the first storage medium; generate a signal based on the controller being configured to determine; identify a criterion based on the signal; select, based on the criterion, at least one of a first procedure or a second procedure for loading second data from the second storage medium to the first storage medium; and output the second data based on a second request generated by the process for the second data.

Abstract: Systems and methods for managing a storage device are disclosed. A first amount of a first storage device is associated to a first client. A first request associated with first data is detected, and a second request associated with the first data is also detected. A log for the first request and the second request is maintained for the first client. A trigger condition is identified, and based on identifying the trigger condition, a value is computed based on the log. A second amount of the first storage device is determined based on the value, and the second amount is associated to the first client.

Abstract: One or more embodiments of the present disclosure describe a storage system comprising a first storage medium, a second storage medium, and a controller configured to communicate with the first storage medium and the second storage medium. The controller is configured to receive a first request generated by a process associated with first data; determine that the first data is stored in the first storage medium; generate a signal based on the controller being configured to determine; identify a criterion based on the signal; select, based on the criterion, at least one of a first procedure or a second procedure for loading second data from the second storage medium to the first storage medium; and output the second data based on a second request generated by the process for the second data.

Abstract: Methods and systems for cluster-based historical data are disclosed. In one embodiment, a method includes accessing historical data associated with a plurality of users and, based on the historical data, constructing a plurality of clusters including historical data associated with a subset of the users. The method further includes, for each cluster, identifying users in the subset of users that are historically improving users, and, for each historically improving user, determining, based on the historical data associated with the historically improving user, a positive predictive attribute indicative of historical improvement. The method further includes receiving, from a new user, a request for a recommendation, accessing historical data associated with the new user, based on the historical data associated with the new user, selecting a cluster, determining the recommendation based on the positive predictive attribute for the selected cluster, and providing the recommendation to the new user.

Abstract: Methods and systems for cluster-based historical data are disclosed. In one embodiment, a method includes accessing historical data associated with a plurality of users and, based on the historical data, constructing a plurality of clusters. Constructing each cluster involves selecting a subset of comparable users and including in the cluster historical data associated with the subset of comparable users. The operations further include storing the cluster, receiving, from a new user, a request for a recommendation, and accessing historical data associated with the new user. The operations further include, based on the historical data associated with the new user, selecting a cluster for which the subset of comparable users is comparable to the new user, based on the selected cluster, determining a recommendation, and providing the recommendation to the new user.