Technologies for an accelerator interface over Ethernet are disclosed. In the illustrative embodiment, a network interface controller of a compute device may receive a data packet. If the network interface controller determines that the data packet should be pre-processed (e.g., decrypted) with a remote accelerator device, the network interface controller may encapsulate the data packet in an encapsulating network packet and send the encapsulating network packet to a remote accelerator device on a remote compute device. The remote accelerator device may pre-process the data packet (e.g., decrypt the data packet) and send it back to the network interface controller. The network interface controller may then send the pre-processed packet to a processor of the compute device.

A computer-implemented method, computer program product and computing system for: processing an unencoded data file to identify a plurality of file segments; mapping each of the plurality of file segments to a portion of a dictionary file to generate a plurality of mappings, wherein each of the plurality of mappings includes a starting location and a length, thus generating a related encoded data file based, at least in part, upon the plurality of mappings; and storing the related encoded data file on a cloud-based storage platform.

A computer-implemented method, computer program product and computing system for: processing an unencoded data file to identify a plurality of file segments, wherein the unencoded data file is a dataset for use with an EHR process; mapping each of the plurality of file segments to a portion of a dictionary file to generate a plurality of mappings that each include a starting location and a length, thus generating a related encoded data file based, at least in part, upon the plurality of mappings; receiving a request to manipulate the unencoded data file from the EHR process; and processing the related encoded data file based, at least in part, upon the plurality of mappings and the dictionary file to generate a modified encoded data file that represents the requested manipulations of the unencoded data file.

An entropy decoder is configured to, for horizontal and vertical components of motion vector differences, derive a truncated unary code from the data stream using context-adaptive binary entropy decoding with exactly one context per bin position of the truncated unary code, which is common for horizontal and vertical components of the motion vector differences, and an Exp-Golomb code using a constant equi-probability bypass mode to obtain the binarizations of the motion vector differences. A desymbolizer is configured to debinarize the binarizations of the motion vector difference syntax elements to obtain integer values of the horizontal and vertical components of the motion vector differences. A reconstructor is configured to reconstruct a video based on the integer values of the horizontal and vertical components of the motion vector differences.

An entropy decoder is configured to, for horizontal and vertical components of motion vector differences, derive a truncated unary code from the data stream using context-adaptive binary entropy decoding with exactly one context per bin position of the truncated unary code, which is common for horizontal and vertical components of the motion vector differences, and an Exp-Golomb code using a constant equi-probability bypass mode to obtain the binarizations of the motion vector differences. A desymbolizer is configured to debinarize the binarizations of the motion vector difference syntax elements to obtain integer values of the horizontal and vertical components of the motion vector differences. A reconstructor is configured to reconstruct a video based on the integer values of the horizontal and vertical components of the motion vector differences.

Systems and methods for stream-based compression are described. One example is an encoder of a first device that receives an input stream of bytes including a first byte preceded by one or more second bytes. The encoder may determine to identify a prefix code for the first byte. The encoder may select a prefix code table using the one or more second bytes. The encoder may identify, from the selected prefix code table, the prefix code of the first byte. The encoder may generate an output stream of bytes by replacing the first byte in the input stream with the prefix code of the first byte. The encoder may transmit the output stream from the encoder of the first device to a decoder of a second device. The output stream may have a fewer number of bits than the input stream.

Systems and methods for stream-based compression are described. One example is an encoder of a first device that receives an input stream of bytes including a first byte preceded by one or more second bytes. The encoder may determine to identify a prefix code for the first byte. The encoder may select a prefix code table using the one or more second bytes. The encoder may identify, from the selected prefix code table, the prefix code of the first byte. The encoder may generate an output stream of bytes by replacing the first byte in the input stream with the prefix code of the first byte. The encoder may transmit the output stream from the encoder of the first device to a decoder of a second device. The output stream may have a fewer number of bits than the input stream.

Systems and methods are provided for mitigating effects of hash collisions in hardware data compression, for example reducing or avoiding the side effects of hash collisions, or reducing or avoiding slow downs caused by hash collisions. In an aspect, a processor-implemented method includes: hashing an input data byte sequence to produce a hash value, the input data byte sequence being located at a sequence address within an input data stream; and storing, in a hash table at a hash address corresponding to the hash value, the sequence address and a portion of the input data byte sequence. In an aspect, to further avoid hash collisions, hash memory accesses are distributed among a plurality of parallel hash banks to increase the throughput. Another aspect virtually extends a hash depth by extending a data match search around broken hash links, going backward in the data sequence.

Systems and methods are provided for mitigating effects of hash collisions in hardware data compression, for example reducing or avoiding the side effects of hash collisions, or reducing or avoiding slow downs caused by hash collisions. In an aspect, a processor-implemented method includes: hashing an input data byte sequence to produce a hash value, the input data byte sequence being located at a sequence address within an input data stream; and storing, in a hash table at a hash address corresponding to the hash value, the sequence address and a portion of the input data byte sequence. In an aspect, to further avoid hash collisions, hash memory accesses are distributed among a plurality of parallel hash banks to increase the throughput. Another aspect virtually extends a hash depth by extending a data match search around broken hash links, going backward in the data sequence.

A method for encoding text includes grouping text as a sequence of bytes, the text comprising a string of characters, each byte corresponding to a character in the text. For each byte of the sequence of bytes: (a) each bit is processed from most significant bit to least significant bit to generate a context; and (b) a subsequent bit is predicted, using a prediction model, based on the context generated based on previously processed bits, prediction of the prediction model being a combination of predictions of a plurality of sub-models. An encoded bitstream is output based on the predicted bits. The encoded bitstream includes encoded data corresponding to the text.