Abstract: A lossless data compressor of an aspect includes a first lossless data compressor circuitry coupled to receive input data. The first lossless data compressor circuitry is to apply a first lossless data compression approach to compress the input data to generate intermediate compressed data. The apparatus also includes a second lossless data compressor circuitry coupled with the first lossless data compressor circuitry to receive the intermediate compressed data. The second lossless data compressor circuitry is to apply a second lossless data compression approach to compress at least some of the intermediate compressed data to generate compressed data. The second lossless data compression approach different than the first lossless data compression approach. Lossless data decompressors are also disclosed, as are methods of lossless data compression and decompression.

Abstract: Disclosed embodiments relate to matrix compress/decompress instructions. In one example, a processor includes fetch circuitry to fetch a compress instruction having a format with fields to specify an opcode and locations of decompressed source and compressed destination matrices, decode circuitry to decode the fetched compress instructions, and execution circuitry, responsive to the decoded compress instruction, to: generate a compressed result according to a compress algorithm by compressing the specified decompressed source matrix by either packing non-zero-valued elements together and storing the matrix position of each non-zero-valued element in a header, or using fewer bits to represent one or more elements and using the header to identify matrix elements being represented by fewer bits; and store the compressed result to the specified compressed destination matrix.

Abstract: Disclosed embodiments relate to matrix compress/decompress instructions. In one example, a processor includes fetch circuitry to fetch a compress instruction having a format with fields to specify an opcode and locations of decompressed source and compressed destination matrices, decode circuitry to decode the fetched compress instructions, and execution circuitry, responsive to the decoded compress instruction, to: generate a compressed result according to a compress algorithm by compressing the specified decompressed source matrix by either packing non-zero-valued elements together and storing the matrix position of each non-zero-valued element in a header, or using fewer bits to represent one or more elements and using the header to identify matrix elements being represented by fewer bits; and store the compressed result to the specified compressed destination matrix.

Abstract: Disclosed embodiments relate to encrypting or decrypting confidential data with additional authentication data by an accelerator and a processor. In one example, a processor includes processor circuitry to compute a first hash of a first block of data stored in a memory, store the first hash in the memory, and generate an authentication tag based in part on a second hash. The processor further includes accelerator circuitry to obtain the first hash from the memory, decrypt a second block of data using the first hash, and compute the second hash based in part on the first hash and the second block of data.

Abstract: Apparatus and method for dictionary accelerator compression. For example, one embodiment of an apparatus comprises: a plurality of cores; a compression/decompression accelerator coupled to or integral to one or more of the plurality of cores, the compression/decompression accelerator to perform decompression and compression operations in response to read and write operations, respectively, wherein responsive to notification of a compression job to compress a memory page or a portion thereof, a history buffer associated with the compression/decompression accelerator to is to be initialized with pre-configured dictionary data, the compression/decompression accelerator to match portions of the pre-configured dictionary data with portions of the memory page to generate compressed output data.

Abstract: Examples described herein relate to executing, on at least one processor, at least one Advanced Encryption Standard (AES) instruction, having an operation code (opcode), on operands, wherein execution of the at least one AES instruction generates an S1 box and/or S2 box of initialization and keystream generation for a SNOW3 cipher operation.

Abstract: Apparatus and method for efficient compression block decoding using content-addressable structure for header processing. For example, one embodiment of an apparatus comprises: a header parser to extract a sequence of tokens and corresponding length values from a header of a compression block, the tokens and corresponding length values associated with a type of compression used to compress a payload of the compression block; and a content-addressable data structure builder to construct a content-addressable data structure based on the tokens and length values, the content-addressable data structure builder to write an entry in the content-addressable data structure comprising a length value and a count value, the count value indicating a number of times the length value was previously written to an entry in the content-addressable data structure.

Abstract: An embodiment of an integrated circuit may comprise a hardware compressor to compress data, the hardware compressor including circuitry to store input data in a history buffer, compute one or more code tables based on the input data, and compute a compression stream header based on the computed one or more code tables. Other embodiments are disclosed and claimed.

Abstract: Disclosed embodiments relate to matrix compress/decompress instructions. In one example, a processor includes fetch circuitry to fetch a compress instruction having a format with fields to specify an opcode and locations of decompressed source and compressed destination matrices, decode circuitry to decode the fetched compress instructions, and execution circuitry, responsive to the decoded compress instruction, to: generate a compressed result according to a compress algorithm by compressing the specified decompressed source matrix by either packing non-zero-valued elements together and storing the matrix position of each non-zero-valued element in a header, or using fewer bits to represent one or more elements and using the header to identify matrix elements being represented by fewer bits; and store the compressed result to the specified compressed destination matrix.

Abstract: Apparatus and method for performing low-latency multi-job submission via a single job descriptor is described herein. An apparatus embodiment includes a plurality of descriptor queues to stores job descriptors describing work to be performed and enqueue circuitry to receive a first job descriptor which includes a first field to store a Single Instruction Multiple Data (SIMD) width. If the SIMD width indicates that the first job descriptor is an SIMD job descriptor and open slots are available in the descriptor queues to store new job descriptors, then the enqueue circuitry is to generate a plurality of job descriptors based on fields of the first job descriptor and to store them in the open slots of the descriptor queues. The generated job descriptors are processed by processing pipelines to perform the work described. At least some of the generated job descriptors are processed concurrently or in parallel by different processing pipelines.

Abstract: Methods, apparatus, and software for hashing data. The methods and apparatus employ novel improvements to hash algorithms, such as a SHA-2 hash algorithm to reduce computations and increase performance. In one aspect, calculation of SHA-2 message scheduling and SHA compression operations are separated under which an SHA-2 message schedule is applied to multiple rounds of SHA compression operations over multiple chunks of data for the data item being hashed. In another aspect, the SHA-2 message schedule is implemented such that message schedules for multiple message words or data blocks are performed in parallel. The approaches may be employed to reduce hash calculations for various purposes, including generating Filecoin nodes.

Abstract: Disclosed embodiments relate to matrix compress/decompress instructions. In one example, a processor includes fetch circuitry to fetch a compress instruction having a format with fields to specify an opcode and locations of decompressed source and compressed destination matrices, decode circuitry to decode the fetched compress instructions, and execution circuitry, responsive to the decoded compress instruction, to: generate a compressed result according to a compress algorithm by compressing the specified decompressed source matrix by either packing non-zero-valued elements together and storing the matrix position of each non-zero-valued element in a header, or using fewer bits to represent one or more elements and using the header to identify matrix elements being represented by fewer bits; and store the compressed result to the specified compressed destination matrix.

Abstract: A processing device comprising compression circuitry to: determine a compression configuration to compress source data; generate a checksum of the source data in an uncompressed state; compress the source data into at least one block based on the compression configuration, wherein the at least one block comprises: a plurality of sub-blocks, wherein the plurality of sub-block includes a predetermined size; a block header corresponding to the plurality of sub-blocks; and decompression circuitry coupled to the compression circuitry, wherein the decompression circuitry to: while not outputting a decompressed data stream of the source data: generate index information corresponding to the plurality of sub-blocks; in response to generating the index information, generate a checksum of the compressed source data associated with the plurality of sub-blocks; and determine whether the checksum of the source data in the uncompressed format matches the checksum of the compressed source data.

Abstract: A lossless data compressor of an aspect includes a first lossless data compressor circuitry coupled to receive input data. The first lossless data compressor circuitry is to apply a first lossless data compression approach to compress the input data to generate intermediate compressed data. The apparatus also includes a second lossless data compressor circuitry coupled with the first lossless data compressor circuitry to receive the intermediate compressed data. The second lossless data compressor circuitry is to apply a second lossless data compression approach to compress at least some of the intermediate compressed data to generate compressed data. The second lossless data compression approach different than the first lossless data compression approach. Lossless data decompressors are also disclosed, as are methods of lossless data compression and decompression.

Abstract: An apparatus and method for performing efficient lossless compression.

Abstract: Data element filter logic (“hardware accelerator”) in a processor that offloads computation for an in-memory database select/extract operation from a Central Processing Unit (CPU) core in the processor is provided. The Data element filter logic provides a balanced performance across an entire range of widths (number of bits) of data elements in a column-oriented Database Management System.

Abstract: Disclosed embodiments relate to matrix compress/decompress instructions. In one example, a processor includes fetch circuitry to fetch a compress instruction having a format with fields to specify an opcode and locations of decompressed source and compressed destination matrices, decode circuitry to decode the fetched compress instructions, and execution circuitry, responsive to the decoded compress instruction, to: generate a compressed result according to a compress algorithm by compressing the specified decompressed source matrix by either packing non-zero-valued elements together and storing the matrix position of each non-zero-valued element in a header, or using fewer bits to represent one or more elements and using the header to identify matrix elements being represented by fewer bits; and store the compressed result to the specified compressed destination matrix.

Abstract: A processing device comprising compression circuitry to: determine a compression configuration to compress source data; generate a checksum of the source data in an uncompressed state; compress the source data into at least one block based on the compression configuration, wherein the at least one block comprises: a plurality of sub-blocks, wherein the plurality of sub-block includes a predetermined size; a block header corresponding to the plurality of sub-blocks; and decompression circuitry coupled to the compression circuitry, wherein the decompression circuitry to: while not outputting a decompressed data stream of the source data: generate index information corresponding to the plurality of sub-blocks; in response to generating the index information, generate a checksum of the compressed source data associated with the plurality of sub-blocks; and determine whether the checksum of the source data in the uncompressed format matches the checksum of the compressed source data.

Abstract: Disclosed embodiments relate to matrix compress/decompress instructions. In one example, a processor includes fetch circuitry to fetch a compress instruction having a format with fields to specify an opcode and locations of decompressed source and compressed destination matrices, decode circuitry to decode the fetched compress instructions, and execution circuitry, responsive to the decoded compress instruction, to: generate a compressed result according to a compress algorithm by compressing the specified decompressed source matrix by either packing non-zero-valued elements together and storing the matrix position of each non-zero-valued element in a header, or using fewer bits to represent one or more elements and using the header to identify matrix elements being represented by fewer bits; and store the compressed result to the specified compressed destination matrix.

Abstract: A processing device comprising compression circuitry to: determine a compression configuration to compress source data; generate a checksum of the source data in an uncompressed state; compress the source data into at least one block based on the compression configuration, wherein the at least one block comprises: a plurality of sub-blocks, wherein the plurality of sub-block includes a predetermined size; a block header corresponding to the plurality of sub-blocks; and decompression circuitry coupled to the compression circuitry, wherein the decompression circuitry to: while not outputting a decompressed data stream of the source data: generate index information corresponding to the plurality of sub-blocks; in response to generating the index information, generate a checksum of the compressed source data associated with the plurality of sub-blocks; and determine whether the checksum of the source data in the uncompressed format matches the checksum of the compressed source data.