Abstract: This invention provides a generalized electronic computer architecture with multiple cores, memory distributed amongst the cores (a core-local memory). This arrangement provides predictable, low-latency memory response time, as well as a flexible, code-supplied flow of memory from one specific operation to another (using an operation graph). In one instantiation, the operation graph consists of a set of math operations, each accompanied by an ordered list of one or more input addresses. Input addresses may be specific addresses in memory, references to other math operations in the graph, or references to the next item in a particular data stream, where data streams are iterators through a continuous block of memory. The arrangement can also be packaged as a PCIe daughter card, which can be selectively plugged into a host server/PC constructed/organized according to traditional von Neumann architecture.

Abstract: This invention provides a generalized electronic computer architecture with multiple cores, memory distributed amongst the cores (a core-local memory). This arrangement provides predictable, low-latency memory response time, as well as a flexible, code-supplied flow of memory from one specific operation to another (using an operation graph). In one instantiation, the operation graph consists of a set of math operations, each accompanied by an ordered list of one or more input addresses. Input addresses may be specific addresses in memory, references to other math operations in the graph, or references to the next item in a particular data stream, where data streams are iterators through a continuous block of memory. The arrangement can also be packaged as a PCIe daughter card, which can be selectively plugged into a host server/PC constructed/organized according to traditional von Neumann architecture.

Abstract: This invention provides a generalized electronic computer architecture with multiple cores, memory distributed amongst the cores (a core-local memory). This arrangement provides predictable, low-latency memory response time, as well as a flexible, code-supplied flow of memory from one specific operation to another (using an operation graph). In one instantiation, the operation graph consists of a set of math operations, each accompanied by an ordered list of one or more input addresses. Input addresses may be specific addresses in memory, references to other math operations in the graph, or references to the next item in a particular data stream, where data streams are iterators through a continuous block of memory. The arrangement can also be packaged as a PCIe daughter card, which can be selectively plugged into a host server/PC constructed/organized according to traditional von Neumann architecture.

Abstract: This invention provides a computer and/or processor architecture optimized for power-efficient computation of a class of sensory recognition (e.g. vision) algorithms on a single computer chip derived from research into how humans process sensory information, such as vision. The processor for efficiently recognizing sensory information with recognizable features defines a feature recognition engine that resolves features from the sensory information and provides a feature information input. A plurality of processing nodes, arranged in a hierarchy of layers, receives the input and, in parallel, recognizes multiple components of the features. Recognized features are transferred between the layers so as to build likely recognition candidates and remove unlikely recognition candidates. A memory in each of the nodes refreshes and retains predetermined features related to likely recognition candidates as the features are transferred between the layers.