An encoder for encoding data to generate corresponding encoded data including information indicative of a frequency, probability or range of one or more symbols to be represented in the encoded data. The encoder can include in the encoded data additional information indicative of whether information indicative of a frequency, probability or range for at least one symbol amongst the one or more symbols is in the encoded data. The encoder can include in the encoded data the additional information of whether information indicative of a frequency, probability or range for at least one symbol amongst the one or more symbols in the encoded data expressed as single availability bit information. The encoder can represent inclusion of information indicative of the frequency, probability or range information by use of a single availability bit value “7”, and non-inclusion of information indicative of the frequency, probability or range information by use of a single availability bit value “0”.

The current document is directed to a multi-stage metric-data compression method and subsystem for compressing metric data collected and stored within distributed computing systems to facilitate computer-system management and administration. In a described implementation, metric data is partitioned into constant metric data, low-variability metric data, and high-variability metric data. High-variability metric data is compressed by identifying a set of basis metrics, or independent metrics, with respect to which a remaining set of dependent metrics can be expressed using coefficient multipliers. The high-variability metric data can then be stored as a set of independent metrics and set of coefficients, along with a small amount of additional data.

The current document is directed to a multi-stage metric-data compression method and subsystem for compressing metric data collected and stored within distributed computing systems to facilitate computer-system management and administration. In a described implementation, metric data is partitioned into constant metric data, low-variability metric data, and high-variability metric data. High-variability metric data is compressed by identifying a set of basis metrics, or independent metrics, with respect to which a remaining set of dependent metrics can be expressed using coefficient multipliers. The high-variability metric data can then be stored as a set of independent metrics and set of coefficients, along with a small amount of additional data.

A system and method for line coding of data. A serial transmitter includes a forward error correction encoding circuit followed by a bit conditioning circuit. The bit conditioning circuit counts the lengths of runs of consecutive identical digits and, when the count reaches a threshold, flips a bit. A serial receiver receives the data from the serial transmitter. The serial receiver includes a forward error correction decoding circuit, which re-flips bits flipped by the bit conditioning circuit of the serial transmitter.

A method that may include retrieving, by a decompression processor, a compressed data unit; wherein the compressed data unit comprises a control section and a data section; wherein the control section comprises multiple decompression instructions for a retrieval of data portions from one or more sources; wherein the one or more source comprise the data section; wherein the control section does not include any data portion; and executing, by a decompression processor, the multiple decompression instructions to provide a decompressed data unit.

A method that may include retrieving, by a decompression processor, a compressed data unit; wherein the compressed data unit comprises a control section and a data section; wherein the control section comprises multiple decompression instructions for a retrieval of data portions from one or more sources; wherein the one or more source comprise the data section; wherein the control section does not include any data portion; and executing, by a decompression processor, the multiple decompression instructions to provide a decompressed data unit.

An input control unit collectively sends a plurality of pieces of variable length code data. A primary analysis processing unit processes a first piece of variable length code data, recognizes zero run information, group number information, and overhead bit information relating thereto, and outputs them to a frequency conversion unit. A continuous analysis processing unit processes one or more pieces of variable length code data subsequent to the first piece of variable length code data. In the case of variable length code data targeted for a predetermined process, the continuous analysis processing unit recognizes zero run information, group number information, and overhead bit information relating thereto, and output them to the frequency conversion unit. In the case of not the variable length code data targeted for the predetermined process, the continuous analysis processing unit discards this and subsequent pieces of data.

An input control unit collectively sends a plurality of pieces of variable length code data. A primary analysis processing unit processes a first piece of variable length code data, recognizes zero run information, group number information, and overhead bit information relating thereto, and outputs them to a frequency conversion unit. A continuous analysis processing unit processes one or more pieces of variable length code data subsequent to the first piece of variable length code data. In the case of variable length code data targeted for a predetermined process, the continuous analysis processing unit recognizes zero run information, group number information, and overhead bit information relating thereto, and output them to the frequency conversion unit. In the case of not the variable length code data targeted for the predetermined process, the continuous analysis processing unit discards this and subsequent pieces of data.

A deep neural network (DNN) module utilizes parallel kernel and parallel input processing to decrease bandwidth utilization, reduce power consumption, improve neuron multiplier stability, and provide other technical benefits. Parallel kernel processing enables the DNN module to load input data only once for processing by multiple kernels. Parallel input processing enables the DNN module to load kernel data only once for processing with multiple input data. The DNN module can implement other power-saving techniques like clock-gating (i.e. removing the clock from) and power-gating (i.e. removing the power from) banks of accumulators based upon usage of the accumulators. For example, individual banks of accumulators can be power-gated when all accumulators in a bank are not in use, and do not store data for a future calculation. Banks of accumulators can also be clock-gated when all accumulators in a bank are not in use, but store data for a future calculation.

In embodiments of the invention, a compression system for a mobile messaging application is disclosed in which messages are received over a communication link in what appears to be the sending user's personal handwriting.