Abstract: Embodiments of the invention provide systems and methods for managing processing, memory, storage, network, and cloud computing to significantly improve the efficiency and performance of processing nodes. Embodiments can implement an object memory fabric including object memory modules storing memory objects created natively within the object memory module and may be a managed at a memory layer. The memory module object directory may index all memory objects within the object memory module. A hierarchy of object routers communicatively coupling the object memory modules may each include a router object directory that indexes all memory objects and portions contained in object memory modules below the object router in the hierarchy. The hierarchy of object routers may behave in aggregate as a single object directory communicatively coupled to all object memory modules and to process requests based on the router object directories.

Abstract: Embodiments of the invention provide systems and methods for managing processing, memory, storage, network, and cloud computing to significantly improve the efficiency and performance of processing nodes. Embodiments described herein can implement an object-based memory which manages the objects within the memory at the memory layer rather than in the application layer. That is, the objects and associated properties can be implemented and managed natively in memory enabling the object memory system to provide increased functionality without any software and increasing performance by dynamically managing object characteristics including, but not limited to persistence, location and processing. Object properties can also propagate up to higher application levels.

Abstract: Embodiments of the present invention are directed to an instruction set of an object memory fabric. This object memory fabric instruction set can be used to define arbitrary, parallel functionality such as: direct object address manipulation and generation without the overhead of complex address translation and software layers to manage differing address space; direct object authentication with no runtime overhead that can be set based on secure 3rd party authentication software; object related memory computing in which, as objects move between nodes, the computing can move with them; and parallelism that is dynamically and transparent based on scale and activity. These instructions are divided into three conceptual classes: memory reference including load, store, and special memory fabric instructions; control flow including fork, join, and branches; and execute including arithmetic and comparison instructions.

Abstract: Embodiments of the invention provide systems and methods for managing processing, memory, storage, network, and cloud computing to significantly improve the efficiency and performance of processing nodes. Embodiments described herein can provide transparent and dynamic performance acceleration, especially with big data or other memory intensive applications, by reducing or eliminating overhead typically associated with memory management, storage management, networking, and data directories. Rather, embodiments manage memory objects at the memory level which can significantly shorten the pathways between storage and memory and between memory and processing, thereby eliminating the associated overhead between each.

Abstract: Embodiments of the invention provide systems and methods for managing processing, memory, storage, network, and cloud computing to significantly improve the efficiency and performance of processing nodes. More specifically, embodiments of the present invention are directed to an instruction set of an object memory fabric. This object memory fabric instruction set can be used to provide a unique instruction model based on triggers defined in metadata of the memory objects. This model represents a dynamic dataflow method of execution in which processes are performed based on actual dependencies of the memory objects. This provides a high degree of memory and execution parallelism which in turn provides tolerance of variations in access delays between memory objects. In this model, sequences of instructions are executed and managed based on data access. These sequences can be of arbitrary length but short sequences are more efficient and provide greater parallelism.

Abstract: Embodiments of the invention provide systems and methods to implement an object memory fabric. Object memory modules may include object storage storing memory objects, memory object meta-data, and a memory module object directory. Each memory object and/or memory object portion may be created natively within the object memory module and may be a managed at a memory layer. The memory module object directory may index all memory objects and/or portions within the object memory module. A hierarchy of object routers may communicatively couple the object memory modules. Each object router may maintain an object cache state for the memory objects and/or portions contained in object memory modules below the object router in the hierarchy. The hierarchy, based on the object cache state, may behave in aggregate as a single object directory communicatively coupled to all object memory modules and to process requests based on the object cache state.

Abstract: Embodiments of the invention provide systems and methods for managing processing, memory, storage, network, and cloud computing to significantly improve the efficiency and performance of processing nodes. Embodiments described herein can eliminate the distinction between memory (temporary) and storage (persistent) by implementing and managing both within the objects. These embodiments can eliminate the distinction between local and remote memory by transparently managing the location of objects (or portions of objects) so all objects appear simultaneously local to all nodes. These embodiments can also eliminate the distinction between processing and memory through methods of the objects to place the processing within the memory itself.

Abstract: Embodiments of the invention provide systems and methods for managing processing, memory, storage, network, and cloud computing to significantly improve the efficiency and performance of processing nodes. Embodiments described herein can eliminate typical size constraints on memory space of commodity servers and other commodity hardware imposed by address sizes. Rather, physical addressing can be managed within the memory objects themselves and the objects can be in turn accessed and managed through the object name space.

Abstract: Embodiments of the invention provide systems and methods for managing processing, memory, storage, network, and cloud computing to significantly improve the efficiency and performance of processing nodes. More specifically, embodiments of the present invention are directed to an instruction set of an object memory fabric. This object memory fabric instruction set can include trigger instructions defined in metadata for a particular memory object. Each trigger instruction can comprise a single instruction and action based on reference to a specific object to initiate or perform defined actions such as pre-fetching other objects or executing a trigger program.

Abstract: Embodiments of the invention provide systems and methods to implement an object memory fabric including hardware-based processing nodes having memory modules storing and managing memory objects created natively within the memory modules and managed by the memory modules at a memory layer, where physical address of memory and storage is managed with the memory objects based on an object address space that is allocated on a per-object basis with an object addressing scheme. Each node may utilize the object addressing scheme to couple to additional nodes to operate as a set of nodes so that all memory objects of the set are accessible based on the object addressing scheme, which defines invariant object addresses for the memory objects that are invariant with respect to physical memory storage locations and storage location changes of the memory objects within the memory module and across all modules interfacing the object memory fabric.

Abstract: Embodiments of the invention provide systems and methods to implement a hardware-based multi-node processing system of an object memory fabric. Hardware-based processing nodes operatively coupled may each include object memory modules storing and managing memory objects, each memory object being created natively within the memory module and managed by the memory module at a memory layer, and each memory object including memory object data and memory object metadata. The memory object metadata may include triggers that specify additional operations to be executed by any object memory module of the hardware-based processing nodes when the respective memory object is located at the respective object memory module and accessed as part of the respective object memory module processing requests.