The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize machine-learning models to classify content items and automatically organize the content items within a file structure according to their content item classifications. For instance, a content item classification system generates one or more content item classification models to determine classifications for content items and/or folders. In some instances, the classification system detects when new content items are added to a smart folder, determines destination folders to which the content items belong based on classifying the content items, and automatically moves the content items accordingly. In various instances, the classification system generates and utilizes a classification model to organize content items into dynamically-generated folders. In example implementations, the classification system generates and utilizes a classification model to automatically organize existing content items into existing folders.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize machine-learning models to classify content items and automatically organize the content items within a file structure according to their content item classifications. For instance, a content item classification system generates one or more content item classification models to determine classifications for content items and/or folders. In some instances, the classification system detects when new content items are added to a smart folder, determines destination folders to which the content items belong based on classifying the content items, and automatically moves the content items accordingly. In various instances, the classification system generates and utilizes a classification model to organize content items into dynamically-generated folders. In example implementations, the classification system generates and utilizes a classification model to automatically organize existing content items into existing folders.

Managing connectivity to synchronously replicated storage systems, including: identifying a plurality of storage systems across which a dataset is synchronously replicated; identifying a host that can issue I/O operations directed to the dataset; identifying a plurality of data communications paths between the host and the plurality of storage systems across which a dataset is synchronously replicated; identifying, from amongst the plurality of data communications paths between the host and the plurality of storage systems across which a dataset is synchronously replicated, one or more optimal paths; and issuing, to the host, an identification of the one or more optimal paths.

Managing connectivity to synchronously replicated storage systems, including: identifying a plurality of storage systems across which a dataset is synchronously replicated; identifying a host that can issue I/O operations directed to the dataset; identifying a plurality of data communications paths between the host and the plurality of storage systems across which a dataset is synchronously replicated; identifying, from amongst the plurality of data communications paths between the host and the plurality of storage systems across which a dataset is synchronously replicated, one or more optimal paths; and issuing, to the host, an identification of the one or more optimal paths.

A hardware-based processing node of an object memory fabric can comprise a memory module storing and managing one or more memory objects within an object-based memory space. Each memory object can be created natively within the memory module, accessed using a single memory reference instruction without Input/Output (I/O) instructions, and managed by the memory module at a single memory layer. The memory module can provide an interface layer below an application layer of a software stack. The interface layer can comprise one or more storage managers managing hardware of a processor and controlling portions of the object-based memory space visible to a virtual address space and physical address space of the processor. The storage managers can further provide an interface between the object-based memory space and an operating system executed by the processor and an alternate object memory based storage transparent to software using the interface layer.

A hardware-based processing node of an object memory fabric can comprise a memory module storing and managing one or more memory objects within an object-based memory space. Each memory object can be created natively within the memory module, accessed using a single memory reference instruction without Input/Output (I/O) instructions, and managed by the memory module at a single memory layer. The memory module can provide an interface layer below an application layer of a software stack. The interface layer can comprise one or more storage managers managing hardware of a processor and controlling portions of the object-based memory space visible to a virtual address space and physical address space of the processor. The storage managers can further provide an interface between the object-based memory space and an operating system executed by the processor and an alternate object memory based storage transparent to software using the interface layer.

A data processing system including a shared memory; a host processor configured to possess an ownership of the shared memory, and process a first task by accessing the shared memory; a processor configured to possess the ownership transferred from the host processor, and process a second task by accessing the shared memory; and a memory controller coupled among the host processor, the processor, and the shared memory, and configured to allow the host processor or the processor to access the shared memory according to the ownership.

A data processing system including a shared memory; a host processor configured to possess an ownership of the shared memory, and process a first task by accessing the shared memory; a processor configured to possess the ownership transferred from the host processor, and process a second task by accessing the shared memory; and a memory controller coupled among the host processor, the processor, and the shared memory, and configured to allow the host processor or the processor to access the shared memory according to the ownership.

Utilizing a storage replica data structure includes receiving, at a hyper-kernel running on a computing node in a plurality of interconnected computing nodes, an indication of an operation pertaining to at least one of a guest physical memory address or a stable storage address. A guest operating system is run on a virtual environment that is defined by a set of hyper-kernels running on the plurality of interconnected computing nodes. It further includes updating a storage replica data structure. The storage replica data structure comprises a set of entries. The set of entries in the storage replica data structure comprises associations among guest physical memory addresses, physical memory addresses, and stable storage addresses.

A processing system includes a first processor configured to issue a first request in a first format, an adapter configured to receive the first request in the first format and send the first request in a second format, and a memory coherency interconnect configured to receive the first request in the second format and determine whether the first request in the second format is for a translation lookaside buffer (TLB) operation or a non-TLB operation based on information in the first request in the second format. When the first request in the second format is for a TLB operation, the interconnect routes the first request in the second format to a TLB global ordering point (GOP). When the first request in the second format is not for a TLB operation, the interconnect routes the first request in the second format to a non-TLB GOP.