According to one embodiment, a data decompression device includes: a detection circuit configured to detect a boundary between a header and a payload in a compressed stream, based on boundary information in the header; a separation circuit configured to separate the header and the payload; a first decompression circuit configured to decompress a compressed coding table in the header; and a second decompression circuit configured to decompress the payload, based on an output of the first decompression circuit.

According to one embodiment, a compression device includes a coding information generation unit. The unit determines code lengths that are respectively associated with a plurality of symbols, based on a frequency of occurrence of each of the plurality of symbols. When the plurality of symbols include one or more first symbols that are respectively associated with one or more first code lengths exceeding an upper limit, the unit changes the first code lengths to the upper limit, selects, from one or more second symbols of the plurality of symbols that are respectively associated with one or more second code lengths shorter than the upper limit, at least one symbol in descending associated code length order, changes at least one code length associated with the symbol to the upper limit.

An electronic device includes a decoding subsystem having a symbol decoder and a second symbol resolver with a plurality of local symbol decoders and a symbol selector. The symbol decoder outputs a first symbol decoded from an initial code for which a symbol is available in a block of the compressed data. The second symbol resolver decodes, in each local symbol decoder, substantially in parallel with decoding the first symbol in the symbol decoder, a respective symbol from a subsequent initial code for which a symbol is available in a respective sub-block of the block of the compressed data. The second symbol resolver outputs, by the symbol selector, as a second symbol, one of the respective symbols from the local symbol decoders selected by the symbol selector based on the initial code.

Innovations in range asymmetric number system (“RANS”) coding and decoding are described herein. Some of the innovations relate to hardware implementations of RANS decoding that organize operations in two phases, which can improve the computational efficiency of RANS decoding. Other innovations relate to adapting RANS encoding/decoding for different distributions or patterns of values for symbols. For example, RANS encoding/decoding can adapt by switching a default symbol width (the number of bits per symbol), adjusting symbol width on a fragment-by-fragment basis for different fragments of symbols, switching between different static probability models on a fragment-by-fragment basis for different fragments of symbols, and/or selectively flushing (or retaining) the state of a RANS decoder on a fragment-by-fragment basis for different fragments of symbols. In many cases, such innovations can improve compression efficiency while also providing computationally efficient performance.

Compressed domain processors configured to perform operations on data compressed in a format that preserves order. The Compressed domain processors may include operations such as addition, subtraction, multiplication, division, sorting, and searching. In some cases, compression engines for compressing the data into the desired formats are provided.

Systems, apparatuses, and methods related to bit string compression are described. A method for bit string compression can include determining that a particular operation is to be performed using a bit string formatted according to a universal number format or a posit format to alter a bit width associated with the bit string from a first bit width to a second bit width and performing a compression operation on a bit string formatted according to a universal number format or a posit format to alter a bit width associated with the bit string from a first bit width to a second bit width. The method can further include writing the bit string having the second bit width to a first register, performing an arithmetic operation or a logical operation, or both using the bit string having the second bit string width, and monitoring a quantity of bits of a result of the operation.

Representative embodiments are disclosed for a rapid and highly parallel decompression of compressed executable and other files, such as executable files for operating systems and applications, having compressed blocks including run length encoded (“RLE”) data having data-dependent references. An exemplary embodiment includes a plurality of processors or processor cores to identify a start or end of each compressed block; to partially decompress, in parallel, a selected compressed block into independent data, dependent (RLE) data, and linked dependent (RLE) data; to sequence the independent data, dependent (RLE) data, and linked dependent (RLE) data from a plurality of partial decompressions of a plurality of compressed blocks, to obtain data specified by the dependent (RLE) data and linked dependent (RLE) data, and to insert the obtained data into a corresponding location in an uncompressed file. The representative embodiments are also applicable to other types of data processing for applications having data dependencies.

Compressed domain processors configured to perform operations on data compressed in a format that preserves order. The Compressed domain processors may include operations such as addition, subtraction, multiplication, division, sorting, and searching. In some cases, compression engines for compressing the data into the desired formats are provided.

An electronic device includes a decoding subsystem having a symbol decoder and a second symbol resolver with a plurality of local symbol decoders and a symbol selector. The symbol decoder outputs a first symbol decoded from an initial code for which a symbol is available in a block of the compressed data. The second symbol resolver decodes, in each local symbol decoder, substantially in parallel with decoding the first symbol in the symbol decoder, a respective symbol from a subsequent initial code for which a symbol is available in a respective sub-block of the block of the compressed data. The second symbol resolver outputs, by the symbol selector, as a second symbol, one of the respective symbols from the local symbol decoders selected by the symbol selector based on the initial code.

An electronic device for decompressing compressed data includes a decoding subsystem having a symbol decoder and a second symbol resolver with a number of local symbol decoders and a symbol selector. The symbol decoder decodes a first symbol from a first code for which a symbol is available in a block of the compressed data and communicates a length of the code to the second symbol resolver. Each local symbol decoder, substantially in parallel with the decoding of the first symbol in the symbol decoder, decodes a respective symbol from a first code for which a symbol is available in a respective sub-block of the block of the compressed data. The second symbol resolver selects, as a second symbol, based on the length received from the symbol decoder, one of the respective symbols from the local symbol decoders. The decoding subsystem then provides the first and second symbols.