An apparatus comprising: circuitry configured to classify a signal; and circuitry configured to control saving of the signal to a memory with a conditional resolution, wherein a signal that is classified as anomalous is saved at higher resolution as a higher resolution signal and a signal that is not classified as anomalous is saved at lower resolution as a lower resolution signal or is not saved.

An apparatus includes a first encoder circuit configured to compress a block of data using dictionary based compression and a second encoder circuit connected to the first encoder circuit to receive the compressed block of data from the first encoder circuit. The second encoder circuit is configured to further compress the compressed block of data according to a codebook. The codebook is based on a distribution of data of a prior block of data or a distribution of data of a portion of the block of data that is less than the block of data. The operation of the second encoder circuit overlaps with the operation of the first encoder circuit to achieve high throughput and avoid the need for a large block of memory (e.g., SRAM) to occupy the data in flight until the second encoder circuit can start.

A data encoding system includes a non-transitory memory, a processor, a digital-to-analog converter (DAC) and a transmitter. The non-transitory memory stores a predetermined file size threshold. The processor is in operable communication with the memory, and is configured to receive data. The processor detects a file size associated with the data. When the file size is below the predetermined file size threshold, the processor compresses the data using a variable length codeword (VLC) encoder. When the file size is not below the predetermined file size threshold, the processor compresses the data, using a hash table algorithm. The DAC is configured to receive a digital representation of the compressed data from the processor and convert the digital representation of the compressed data into an analog representation of the compressed data. The transmitter is coupled to the DAC and configured to transmit the analog representation of the compressed data.

The present disclosure provides a method, apparatus and computer program product for determining a data transfer manner. The method comprises determining a first transfer completion time for transferring a data block from a first device to a second device without compression; determining a second transfer completion time for transferring the data block from the first device to the second device with the compression performed; and selecting, based on a comparison of the first and second transfer completion time, a transfer manner for the data block from a first transfer manner comprising compressing the data block and transferring the compressed data block and a second transfer manner of directly transferring the data block without compression. Through the embodiments, compressing and uncompressing are evaluated based on the transfer completion time before data transfer, so as to select a transfer manner suitable for data to be transferred and for devices that perform data transfer.

A computer system includes a plurality of hardware processors, and a hardware accelerator. A first processor among the plurality of processor runs an application that issues a data compression request to compress or decompress a data stream. The hardware accelerator selectively operates in different modes to compresses or decompresses the data stream. Based on a selected mode, the hardware accelerator can utilize a different number of processors among the plurality of hardware to compress or decompress the data stream.

Example embodiments of the present invention relate to methods, systems, and a computer program product for storing data compressed according to available system resources. The method includes evaluating system resources of a data storage system and selecting a compression algorithm according to the system resources. The data set then may be compressed according to the selected compression algorithm and the compressed data stored in the data storage system.

A runtime data-format optimizer for a processing element includes a sparsity-detector and a compression-converter. The sparsity-detector selects a first compression-conversion format during a runtime of the processing element based on a performance model that is based on a first sparsity pattern of first data stored in a first memory that is exterior to the processing element and a second sparsity pattern of second data that is to be stored in a second memory within the processing element. The second sparsity pattern is based on a runtime configuration of the processing element. The first data is stored in the first memory using a first compression format and the second data is to be stored in the second memory using a second compression format. The compression-conversion circuit converts the first compression format of the first data to be the second compression format of the second data based on the first compression-conversion format.

A controller 13 of the information processing device 1 according to the present embodiment is configured to acquire measured data outputted by a sensor group 2 that is measurement equipment. Then, the controller 13 is configured to determine a compression mode of the measured data, based on the compression related information I1 regarding compression mode of data in accordance with a position and/or a posture. Then, the controller 13 compresses the measured data based on the determined compression mode.

A memory device includes: a plurality of memory cells; soft read logic configured to generate soft data by reading data from the plurality of memory cells in response to a soft read command from a controller, the soft data including at least a major symbol and at least a minor symbol; a compressor configured to generate compressed data by: encoding, into a code alphabet having a second length, a major source alphabet including repetitions of the major symbol by a first length among a plurality of source alphabets included in the soft data, and encoding, into a code alphabet having a longer length than the second length, a minor source alphabet including repetitions of the major symbol by a shorter length than the first length and ending with one minor symbol; and an interface configured to provide the compressed data to the controller.

Aspects of dynamic data compression selection are presented. In an example method, as uncompressed data chunks of a data stream are compressed, at least one performance factor affecting selection of one of multiple compression algorithms for the uncompressed data chunks of the data stream may be determined. Each of the multiple compression algorithms may facilitate a different expected compression ratio. One of the multiple compression algorithms may be selected separately for each uncompressed data chunk of the data stream based on the at least one performance factor. Each uncompressed data chunk may be compressed using the selected one of the multiple compression algorithms for the uncompressed data chunk.