H03M7/6023

Techniques to support multiple interconnect protocols for a common set of interconnect connectors

Embodiments may be generally direct to apparatuses, systems, method, and techniques to determine a configuration for a plurality of connectors, the configuration to associate a first interconnect protocol with a first subset of the plurality of connectors and a second interconnect protocol with a second subset of the plurality of connectors, the first interconnect protocol and the second interconnect protocol are different interconnect protocols and each comprising one of a serial link protocol, a coherent link protocol, and an accelerator link protocol, cause processing of data for communication via the first subset of the plurality of connectors in accordance with the first interconnect protocol, and cause processing of data for communication via the second subset of the plurality of connector in accordance with the second interconnect protocol.

METHOD AND APPARATUS FOR SPECULATIVE DECOMPRESSION

An apparatus and method for performing parallel decoding of prefix codes such as Huffman codes. For example, one embodiment of an apparatus comprises: a first decompression module to perform a non-speculative decompression of a first portion of a prefix code payload comprising a first plurality of symbols; and a second decompression module to perform speculative decompression of a second portion of the prefix code payload comprising a second plurality of symbols concurrently with the non-speculative decompression performed by the first compression module.

Selection of data compression technique based on input characteristics

A compression scheme can be selected for an input data stream based on characteristics of the input data stream. For example, when the input data stream is searched for pattern matches, input stream characteristics used to select a compression scheme can include one or more of: type and size of an input stream, a length of a pattern, a distance from a start of where the pattern is to be inserted to the beginning of where the pattern occurred previously, a gap between two pattern matches (including different or same patterns), standard deviation of a length of a pattern, standard deviation of a distance from a start of where the pattern is to be inserted to the beginning of where the pattern occurred previously, or standard deviation of a gap between two pattern matches. Criteria can be established whereby one or more characteristics are used to select a particular encoding scheme.

DOUBLE-PASS LEMPEL-ZIV DATA COMPRESSION WITH AUTOMATIC SELECTION OF STATIC ENCODING TREES AND PREFIX DICTIONARIES

A method includes receiving an input data stream at a processor, and for each byte sequence from a plurality of byte sequences of the input data stream, a hash is generated and compared to a hash table to determine whether a match exists. If a match exists, that byte sequence is incrementally expanded to include one or more additional adjacent bytes from the input data stream, to produce multiple expanded byte sequences. Each of the expanded byte sequences is compared to the hash table to identify a maximum-length matched byte sequence from a set that includes the byte sequence and the plurality of expanded byte sequences. A representation of the maximum-length matched byte sequence is stored in the memory. If a match does not exist, a representation of that byte sequence is stored as a byte sequence literal in the memory.

Multi-symbol, multi-format, parallel symbol decoder for hardware decompression engines

In some data compression algorithms and/or standards, the compressed data comprises variable length symbols. A set of parallel decoders speculatively decode/decompress a window (i.e., sub-block) of data. Each of the decoders attempts to decode/decompress a symbol that starts at a different location in the compressed data block. Once the decoders have finished decoding a symbol (or determined that a valid symbol does not begin at the beginning of the window assigned to that decoder), a symbol strider selects the decoder outputs corresponding to valid symbols. The symbol strider successively selects decoder outputs based on the size of the previous symbols that were found to be valid. When the next valid symbol begins outside the current window, its location is stored to indicate the location of the next valid symbol in a subsequent window.

Large scale application specific computing system architecture and operation
11249998 · 2022-02-15 · ·

A data input sub-system of a large scale application specific computing system receives a data set that includes a plurality of records, each with a plurality of data fields, and divides the data set into a plurality of data segments. The data input sub-system further restructures records of data segments based on a key field of the plurality of data fields to produce restructured data segments and generates storage instructions for storing the restructured data segments. A data storage and processing sub-system of the computing system interprets the storage instructions to determine resources to engage and stores the restructured data segments using engaged resources. A query and results sub-system of the computing system generates an initial query plan based on a data processing request, optimizes the initial query plan to produce an optimized query plan, and sends the optimized query plan to the data storage and processing sub-system for execution.

Parallelized decoding of variable-length prefix codes

Methods and systems are provided for decoding variable-length codes in a parallel process. A stream of variable-length code words is divided into fixed length words. A plurality of parallel sets of decoder circuits each receive, in parallel, a current fixed length word and a prior fixed length word. Each decoder circuit has a respective fixed leftover bit-count. Each decoder circuit generates a respective output that may include a decoded symbol and a new leftover bit-count. Each respective output is determined based on the respective current fixed length word, the respective prior fixed length word, and the respective fixed leftover bit-count. A set of selected decoder circuit outputs is generated for each set of the parallel sets of decoder circuits based on a set of first leftover bit-counts. One output from each set of selected decoder circuit outputs is selected as a final output based on a second prior leftover bit-count.

CHANNEL-PARALLEL COMPRESSION WITH RANDOM MEMORY ACCESS
20210399740 · 2021-12-23 ·

A data compressor a zero-value remover, a zero bit mask generator, a non-zero values packer, and a row-pointer generator. The zero-value remover receives 2.sup.N bit streams of values and outputs 2.sup.N non-zero-value bit streams having zero values removed from each respective bit stream. The zero bit mask generator receives the 2.sup.N bit streams of values and generates a zero bit mask for a predetermined number of values of each bit stream in which each zero bit mask indicates a location of a zero value in the predetermined number of values corresponding to the zero bit mask. The non-zero values packer receives the 2.sup.N non-zero-value bit streams and forms a group of packed non-zero values. The row-pointer generator that generates a row-pointer for each group of packed non-zero values.

Scalable binning for big data deduplication
11204707 · 2021-12-21 · ·

Fast record deduplication is accomplished by providing as an input, data records having multiple attributes, and local similarity functions of individual attributes with local similarity thresholds. Bin IDs are then generated based on the local similarity functions and the local similarity thresholds. The Bin IDs are unique identifiers of a respective bin of records, and the bin of records is a set of records that are possibly pairwise similar. Local candidate pairs are identified based on data records that share Bin IDs. The local candidate pairs are aggregated to produce a set of global candidate pairs. The set of global candidate pairs are filtered by deciding whether a pair of data records represents a duplicate.

ENHANCING ARTIFICIAL REVERBERATION IN A NOISY ENVIRONMENT VIA NOISE-DEPENDENT COMPRESSION

Techniques for regenerating reverberation include generating a reverberation signal based on a source signal and a response of a listening space, generating a compressed reverberation signal by increasing output levels of a first portion of the reverberation signal having output levels below a threshold level more than output levels of a second portion of the reverberation signal having output levels above the threshold level, and combining the compressed reverberation signal with the source signal to form an output signal for the listening space.