Abstract: A system can to perform a replication of data from first computing equipment to second computing equipment, the data being stored as part of a path in a file system. The system can, from a replication policy for the replication, a priority sub-path of the path. The system can add a first set of files to a transfer queue comprising tree-walking the priority sub-path. The system can, after adding the first set of files, adding a second set of files to the transfer queue comprising tree-walking a portion of the path that is different from the priority sub-path. The system can replicate files in the transfer queue from the first computing equipment to the second computing equipment.

Abstract: A system can determine to perform a replication of data from first computing equipment to second computing equipment, the data being stored as part of a path in a file system. The system can determine that a change log of file operations on files in the path identifies a file operation on a file that is made by a user account that has priority for replications. The system can replicate the file. The system can, after processing the change log for file operations made by first user accounts that have priority for replications, replicating other files in the path associated with second user accounts that do not have priority for replications.

Abstract: A high-endurance, computation-in-memory processor includes a plurality of memory computation modules (MCMs). Each of the MCMs comprise a plurality of memory arrays and a respective module controller to program the plurality of memory arrays to perform mathematical operations on a data set, as well as communicate with other of the MCMs to control a data flow between the MCMs. An inter-module interconnect transports operational data between the MCMs, and communicates with the MCMs to maintain queues storing the operational data during transport between the MCMs. A digital signal processor (DSP) transmits input data to the MCMs and retrieves processed data output by the MCMs.

Abstract: A co-processor is configured for performing vector matrix multiplication (VMM) to solve computational problems such as partial differential equations (PDEs). An analog Discrete Fourier Transform (DFT) can be implemented by invoking VMM of input signals with Fourier basis functions using analog crossbar arrays. Linear and non-linear PDEs can be solved by implementing spectral PDE solution methods as an alternative to massively discretized finite difference methods, while exploiting inherent parallelism realized through the crossbar arrays. A digital controller interfaces with the crossbar arrays to direct write and read operations to the crossbar arrays.

Abstract: A co-processor is configured for performing vector matrix multiplication (VMM) to solve computational problems such as partial differential equations (PDEs). An analog Discrete Fourier Transform (DFT) can be implemented by invoking VMM of input signals with Fourier basis functions using analog crossbar arrays. Linear and non-linear PDEs can be solved by implementing spectral PDE solution methods as an alternative to massively discretized finite difference methods, while exploiting inherent parallelism realized through the crossbar arrays. A digital controller interfaces with the crossbar arrays to direct write and read operations to the crossbar arrays.

Abstract: A co-processor is configured for performing vector matrix multiplication (VMM) to solve computational problems such as partial differential equations (PDEs). An analog Discrete Fourier Transform (DFT) can be implemented by invoking VMM of input signals with Fourier basis functions using analog crossbar arrays. Linear and non-linear PDEs can be solved by implementing spectral PDE solution methods as an alternative to massively discretized finite difference methods, while exploiting inherent parallelism realized through the crossbar arrays. The analog crossbar array can be implemented in CMOS and memristors or a hybrid solution including a combination of CMOS and memristors.

Abstract: A co-processor is configured for performing vector matrix multiplication (VMM) to solve computational problems such as partial differential equations (PDEs). An analog Discrete Fourier Transform (DFT) can be implemented by invoking VMM of input signals with Fourier basis functions using analog crossbar arrays. Linear and non-linear PDEs can be solved by implementing spectral PDE solution methods as an alternative to massively discretized finite difference methods, while exploiting inherent parallelism realized through the crossbar arrays. The analog crossbar array can be implemented in CMOS and memristors or a hybrid solution including a combination of CMOS and memristors.

Abstract: An image processor includes an analog correlator for providing correlation information among a pair of stereo images. The image processor includes an analog-to-digital converter (ADC), an analog correlator, and a digital processor. The ADC generates digital data corresponding to analog data of a plurality of images, the digital data being stored to a memory. The analog correlator circuit calculates correlation information among the plurality of images based on the analog data. The digital processor processes the digital data based on the correlation information to provide alignment of the images.

Abstract: Embodiments provide for dramatically improved interference resistance in advanced communications applications, where the frequency range can exceed 1 GHz. Such embodiments may be implemented using wideband technology to provide a wideband compressive sampling architecture that is capable of superior interference rejection through RF front end cancellation.

Abstract: Embodiments provide for dramatically improved interference resistance in advanced communications applications, where the frequency range can exceed 1 GHz. Such embodiments may be implemented using wideband technology to provide a wideband compressive sampling architecture that is capable of superior interference rejection through RF front end cancellation.