Systems and methods provide for efficiently and accurately determining a simplified path that conforms to the geometry of an original path by simultaneously minimizing the deviation from the original path and reducing the number of anchor points in the simplified path. A simplified path may be iteratively generated by updating parametric values and anchor points for candidate simplified paths at epochs. A deviation in distance between points on the original path and corresponding points on candidate paths may be iteratively decreased to ensure that the resulting simplified path follows the geometry of the original path to a predetermined threshold. Continuity constrains can also be applied to ensure smoothness of the simplified path.

Aspects of the disclosure provide methods and apparatuses for neural network model compression/decompression. In some examples, an apparatus for neural network model decompression includes receiving circuitry and processing circuitry. The processing circuitry decodes, from a bitstream corresponding to a representation of a neural network, at least a syntax element to be applied to multiple blocks in the neural network. Then, the processing circuitry reconstructs, from the bitstream, weight coefficients in the blocks based on the syntax element.

A computing device includes main volatile memory and a node. The node includes a central processing module, non-volatile memory; and a non-volatile memory interface unit. A combination of the non-volatile memory and the main volatile memory stores an application specific operating system and at least a portion of a computing device operating system. The application specific operating system includes a plurality of application specific system level operations and the computing device operating system includes a plurality of general system level operations. A first processing module of the central processing module operates in accordance with a selected operating system and ignores operation not included in the selected operating system. The selected operating system includes one or more selected application specific level operations of the application specific operating system.

A method and apparatus for processing data of a neural network. The method includes: obtaining one or more bit representations of data used for processing a neural network; generating a plurality of candidate profiles based on the bit representations; determining a final profile by comparing compression performances for each of the candidate profiles; and determining an optimal configuration for compressing data of the neural network based on the determined final profile.

A decoding device is used to securely send corresponding data gathered from multiple underground sources to multiple users. The device comprises a signal receiving port connected to multiple bandwidth filters and further connected to internet access points that are assigned to end users for secure data access. The invention facilitates allowing the signal and data being transmitted through the formation of the earth to reach end users located nearby and significant distances away from the source of the transmission. A system and method utilizing the decoding device is provided.

One embodiment provides a computer implemented method of data compression including segmenting user data into data segments; deduplicating the data segments to form deduped data segments; compressing the deduped data segments into compression units using a hardware accelerator; packing the compression units into compression regions; and packing the compression regions into one or more containers.

A method includes generating, by a processing entity of a computing system, a plurality of parity blocks from a plurality of lines of data blocks. A first number of parity blocks of the plurality of parity blocks is generated from a first line of data blocks of the plurality of lines of data blocks. The method further includes storing, by the processing entity, the plurality of lines of data blocks in data sections of memory of a cluster of computing devices of the computing system in accordance with a read/write balancing pattern and a restricted file system. The method further includes storing, by the processing entity, the plurality of parity blocks in parity sections of memory of the cluster of computing devices in accordance with the read/write balancing pattern and the restricted file system.

Data compression techniques are described for saving memory space by using fewer bits to store information while achieving high fidelity. A data set may be partitioned into a plurality of regions. Locally varying numerical ranges of data values (e.g., the minimum and maximum extents) may be determined for the plurality of regions. The data in the individual regions may be encoded using a lower number of bits as interpolation values in reference to the local extents rather than being encoded using a higher number of bits as absolute values. Where there are multiple channels of data in the regions, the number of available bits for encoding the data may be dynamically allocated per region based on the relative degrees of variance in data among the multiple channels.

A method includes generating, by a processing entity of a computing system, a plurality of parity blocks from a plurality of lines of data blocks. A first number of parity blocks of the plurality of parity blocks is generated from a first line of data blocks of the plurality of lines of data blocks. The method further includes storing, by the processing entity, the plurality of lines of data blocks in data sections of memory of a cluster of computing devices of the computing system in accordance with a read/write balancing pattern and a restricted file system. The method further includes storing, by the processing entity, the plurality of parity blocks in parity sections of memory of the cluster of computing devices in accordance with the read/write balancing pattern and the restricted file system.

Apparatus and a method for compressing data that represent a time-dependent signal that includes a multiplicity of time-dependent signal elements, wherein a multiplicity of spectra are received, where each spectrum corresponds to one of the time-dependent signal elements, and where each spectrum includes a multiplicity of frequencies f.sub.j and a multiplicity of amplitudes of the multiplicity of frequencies, wherein a compressed data record is generated, wherein a respective number of coefficients of an autoregressive model for the multiplicity of amplitudes of each of the multiplicity of frequencies is ascertained, and wherein the compressed data record is generated, where the compressed data record includes at least the number of coefficients and the frequencies associated with the coefficients.