Abstract:
A data compression apparatus of the invention includes a data acquisition unit to acquire n integers from encoding data, an integer division unit to divide each integer of the n integers into a second integer represented by low-order bits whose number of divided bits is b and a first integer represented by high-order bits obtained by excluding the low-order bits from each integer of the n integers and to output n first integers and n second integers, a first encoding unit to encode and output the n first integers as a first code represented by binary data having a number of bits that is a natural-number times the number of unit bits of L, and a second encoding unit to encode and output the n second integers as a second code.
Abstract:
A system, method and product for providing data compression and decompression. A method is disclosed that includes: utilizing a CPU to perform a matching-bytes search, byte-oriented search result coding, and content analysis on a set of raw data to generate a set of initially compressed data; forwarding the set of initially compressed data from the CPU to a hardware accelerator; utilizing the hardware accelerator to perform search result re-coding, table construction, and encoding to generate a set of further compressed data; and forwarding the set of further compressed data back to the CPU.
Abstract:
A data transfer device calculates a compression performance value which represents a quantity of data that can be compressed per unit time and a transfer performance value which represents a quantity of data that can be transferred per unit time, and calculates, based on these values, a compression ratio which represents a ratio of data to be compressed and then transferred to total data to be transferred. The data transfer device extracts, from a storage unit which stores data, the data to be transferred, and then compresses part of the extracted data based on the compression ratio, and transfers the compressed data and remaining data to another device. The compression and transfer processes are performed in parallel.
Abstract:
Operation of a multi-slice computer processor that includes a plurality of execution slices. Operation of such a computer processor includes: matching one or more sub strings of a data string to one or more substrings of a data set; determining that a particular substring of the one or more substrings of the data string corresponds to a highest priority value among one or more priority values mapped to one or more encodings for the one or more substrings of the data string; and encoding, in dependence upon the particular substring of the data string corresponding to the highest priority value, the data string into an encoding that encodes the particular substring of the one or more substrings of the data string.
Abstract:
Detailed herein are embodiments of systems, methods, and apparatuses for decompression using hardware and software. In hardware, an input buffer stores incoming input records from a compressed stream. A plurality of decoders decode at least one input record from the input buffer out output an intermediate record from the decoded data and a subset of the plurality of decoders to output a stream of literals. Finally, a reformat circuit formats an intermediate record into one of two types of tokens.
Abstract:
A data compression apparatus includes a memory and a processor. The processor extracts a second character string as a matching string from a character string after a first character string in a character string of data before compression that is stored in the memory, the second character string being identical with the first character string, and identifies a length of the matching string, and a relative position indicating how many addresses the first character string precedes the second character string by. The processor extracts a third character string having a length that is less than the relative position from the extracted second character string. The processor encodes a length of the third character string. The processor encodes the relative position.
Abstract:
Selective data compression by a distributed traffic management system to reduce mobile and/or signaling traffic are disclosed. In one embodiment, the method can include, for example: compressing an uncompressed data chunk in a data stream to be transmitted over the wireless network to generate a compressed data chunk, comparing sizes of the uncompressed data chunk with the compressed data chunk, transmitting an optimized data stream comprising of the uncompressed data chunk or the compressed data chunk over the wireless network, depending on which is smaller in size. In one embedment, a header can be included in the optimized data stream to indicate which of uncompressed data chunk and the compressed data chunk is transmitted.
Abstract:
A data compression apparatus includes a memory and a processor. The processor extracts a second character string as a matching string from a character string after a first character string in a character string of data before compression that is stored in the memory, the second character string being identical with the first character string, and identifies a length of the matching string, and a relative position indicating how many addresses the first character string precedes the second character string by. The processor extracts a third character string having a length that is less than the relative position from the extracted second character string. The processor encodes a length of the third character string. The processor encodes the relative position.
Abstract:
Disclosed is an operating method of a semiconductor device, including acquiring resource information on a plurality of hardware resources, receiving a compression request or a decompression request for data, acquiring context information on the semiconductor device, in response to receiving the compression request or the decompression request for the data, selecting a compression algorithm for compressing or decompressing the data, based on the context information, selecting, among the plurality of hardware resources, a hardware resource for performing the selected compression algorithm, based on the acquired resource information, and compressing or decompressing the data using the selected compression algorithm and the selected hardware resource.
Abstract:
Techniques are described herein for storing and processing codes included in dictionary-encoded data. In an embodiment, for each respective code of a plurality of codes in the dictionary-encoded data: a plurality of bits from a first portion of the respective code is contiguously stored. One or more bits from a second portion of the respective code is stored in one or more slices. Each respective slice of the one or more slices stores a bit from the one or more bits with a corresponding bit position in the respective code. In another embodiment, a bit-vector is generated based on at least one slice by loading each respective bit of the plurality of bits into different respective partitions in a register at a bit position corresponding to the at least one slice. A plurality of codes may be reconstructed by combining the bit-vector with one or more other bit-vectors