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: Technologies for executing a serial data processing algorithm on a single variable-length data buffer includes padding data segments of the buffer, streaming the data segments into a data register and executing the serial data processing algorithm on each of the segments in parallel.

Abstract: Technologies for executing a serial data processing algorithm on a single variable length data buffer includes streaming segments of the buffer into a data register, executing the algorithm on each of the segments in parallel, and combining the results of executing the algorithm on each of the segments to form the output of the serial data processing algorithm.

Abstract: Methods and apparatuses relating to accelerating blockchain transactions are described. In one embodiment, a processor includes a hardware accelerator to execute an operation of a blockchain transaction, and the hardware accelerator includes a dispatcher circuit to route the operation to a transaction processing circuit when the operation is a transaction operation and route the operation to a block processing circuit when the operation is a block operation. In another embodiment, a processor includes a hardware accelerator to execute an operation of a blockchain transaction; and a network interface controller including a dispatcher circuit to route the operation to a transaction processing circuit of the hardware accelerator when the operation is a transaction operation and route the operation to a block processing circuit of the hardware accelerator when the operation is a block operation.

Abstract: Instructions and logic provide for a Single Instruction Multiple Data (SIMD) SM4 round slice operation. Embodiments of an instruction specify a first and a second source data operand set, and substitution function indicators, e.g. in an immediate operand. Embodiments of a processor may include encryption units, responsive to the first instruction, to: perform a slice of SM4-round exchanges on a portion of the first source data operand set with a corresponding keys from the second source data operand set in response to a substitution function indicator that indicates a first substitution function, perform a slice of SM4 key generations using another portion of the first source data operand set with corresponding constants from the second source data operand set in response to a substitution function indicator that indicates a second substitution function, and store a set of result elements of the first instruction in a SIMD destination register.

Abstract: A processor includes an instruction decoder to receive a first instruction to process a secure hash algorithm 2 (SHA-2) hash algorithm, the first instruction having a first operand associated with a first storage location to store a SHA-2 state and a second operand associated with a second storage location to store a plurality of messages and round constants. The processor further includes an execution unit coupled to the instruction decoder to perform one or more iterations of the SHA-2 hash algorithm on the SHA-2 state specified by the first operand and the plurality of messages and round constants specified by the second operand, in response to the first instruction.

Abstract: A processor includes an instruction decoder to receive a first instruction to process a secure hash algorithm 2 (SHA-2) hash algorithm, the first instruction having a first operand associated with a first storage location to store a SHA-2 state and a second operand associated with a second storage location to store a plurality of messages and round constants. The processor further includes an execution unit coupled to the instruction decoder to perform one or more iterations of the SHA-2 hash algorithm on the SHA-2 state specified by the first operand and the plurality of messages and round constants specified by the second operand, in response to the first instruction.

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 processor includes an instruction decoder to receive a first instruction to process a secure hash algorithm 2 (SHA-2) hash algorithm, the first instruction having a first operand associated with a first storage location to store a SHA-2 state and a second operand associated with a second storage location to store a plurality of messages and round constants. The processor further includes an execution unit coupled to the instruction decoder to perform one or more iterations of the SHA-2 hash algorithm on the SHA-2 state specified by the first operand and the plurality of messages and round constants specified by the second operand, in response to the first instruction.

Abstract: A processor includes an instruction decoder to receive a first instruction to process a secure hash algorithm 2 (SHA-2) hash algorithm, the first instruction having a first operand associated with a first storage location to store a SHA-2 state and a second operand associated with a second storage location to store a plurality of messages and round constants. The processor further includes an execution unit coupled to the instruction decoder to perform one or more iterations of the SHA-2 hash algorithm on the SHA-2 state specified by the first operand and the plurality of messages and round constants specified by the second operand, in response to the first instruction.

Abstract: Detailed herein are embodiments of systems, methods, and apparatuses for decompression using hardware and software. For example, in embodiment a hardware apparatus comprises an input buffer to store incoming data from a compressed stream, a selector to select at least one byte stored in the input buffer, a decoder to decode the selected at least one byte and determine if the decoded at least one byte is a literal or a symbol, an overlap condition, a size of a record from the decoded stream, a length value of the data to be retrieved from the decoded stream, and an offset value for the decoded data, and a token format converter to convert the decoded data and data from source and destination offset base registers into a fixed-length token.

Abstract: In one embodiment, an apparatus includes: a device having a physically unclonable function (PUF) circuit including a plurality of PUF cells to generate a PUF sample responsive to at least one control signal; a controller coupled to the device, the controller to send the at least one control signal to the PUF circuit and to receive a plurality of PUF samples from the PUF circuit; a buffer having a plurality of entries each to store at least one of the plurality of PUF samples; and a filter to filter the plurality of PUF samples to output a filtered value, wherein the controller is to generate a unique identifier for the device based at least in part on the filtered value. Other embodiments are described and claimed.

Abstract: An apparatus is described that includes a semiconductor chip having an instruction execution pipeline having one or more execution units with respective logic circuitry to: a) execute a first instruction that multiplies a first input operand and a second input operand and presents a lower portion of the result, where, the first and second input operands are respective elements of first and second input vectors; b) execute a second instruction that multiplies a first input operand and a second input operand and presents an upper portion of the result, where, the first and second input operands are respective elements of first and second input vectors; and, c) execute an add instruction where a carry term of the add instruction's adding is recorded in a mask register.

Abstract: Methods and apparatuses related to guardband recovery using in situ characterization are disclosed. In one example, a system includes a target circuit, a voltage regulator to provide a variable voltage to, a phase-locked loop (PLL) to provide a variable clock to, and a temperature sensor to sense a temperature of the target circuit, and a control circuit, wherein the control circuit is to set up a characterization environment by setting a temperature, voltage, clock frequency, and workload of the target circuit, execute a plurality of tests on the target circuit, when the target circuit passes the plurality of tests, adjust the variable voltage to increase a likelihood of the target circuit failing the plurality of tests and repeat the plurality of tests, and when the target circuit fails the plurality of tests, adjust the variable voltage to decrease a likelihood of the target circuit failing the plurality of tests.

Abstract: A processor includes a plurality of registers, an instruction decoder to receive an instruction to process a KECCAK state cube of data representing a KECCAK state of a KECCAK hash algorithm, to partition the KECCAK state cube into a plurality of subcubes, and to store the subcubes in the plurality of registers, respectively, and an execution unit coupled to the instruction decoder to perform the KECCAK hash algorithm on the plurality of subcubes respectively stored in the plurality of registers in a vector manner.

Abstract: A method is described. The method includes iteratively performing for each position in a result matrix stored in a third register, multiplying a value at a matrix position stored in a first register with a value at a matrix position stored in a second register to obtain a first multiplicative value, where the positions in the first register and the second register are determined by the position in the result matrix and performing an exclusive or (XOR) operation with the first multiplicative value and a value stored at a result matrix position stored in the third register to obtain a result value.

Abstract: Technologies for data decompression include a computing device that reads a symbol tag byte from an input stream. The computing device determines whether the symbol can be decoded using a fast-path routine, and if not, executes a slow-path routine to decompress the symbol. The slow-path routine may include data-dependent branch instructions that may be unpredictable using branch prediction hardware. For the fast-path routine, the computing device determines a next symbol increment value, a literal increment value, a data length, and an offset based on the tag byte, without executing an unpredictable branch instruction. The computing device sets a source pointer to either literal data or reference data as a function of the tag byte, without executing an unpredictable branch instruction. The computing device may set the source pointer using a conditional move instruction. The computing device copies the data and processes remaining symbols. Other embodiments are described and claimed.

Abstract: One embodiment provides an apparatus. The apparatus includes a single instruction multiple data (SIMD) hash module configured to apportion at least a first portion of a message of length L to a number (S) of segments, the message including a plurality of sequences of data elements, each sequence including S data elements, a respective data element in each sequence apportioned to a respective segment, each segment including a number N of blocks of data elements and to hash the S segments in parallel, resulting in S segment digests, the S hash digests based, at least in part, on an initial value and to store the S hash digests; a padding module configured to pad a remainder, the remainder corresponding to a second portion of the message, the second portion related to the length L of the message, the number of segments and a block size; and a non-SIMD hash module configured to hash the padded remainder, resulting in an additional hash digest and to store the additional hash digest.

Abstract: Methods and apparatuses relating to memory compression and decompression are described. In one embodiment, a hardware compression engine is to determine when each section of a plurality of sections of a block of data is a zero value, a full match or a partial match to an entry in a dictionary, or a no match to any entry in the dictionary, encode a tag for each section to indicate the one of the zero value, the full match, the partial match, and the no match, encode a literal when the section is the no match, an index to the entry in the dictionary when the section is the full match, and an index to the entry in the dictionary and non-matching bits when the section is the partial match, and update an entry in the dictionary with a value of a section when the section is the no match.

Abstract: A processor includes a plurality of registers, an instruction decoder to receive an instruction to process a KECCAK state cube of data representing a KECCAK state of a KECCAK hash algorithm, to partition the KECCAK state cube into a plurality of subcubes, and to store the subcubes in the plurality of registers, respectively, and an execution unit coupled to the instruction decoder to perform the KECCAK hash algorithm on the plurality of subcubes respectively stored in the plurality of registers in a vector manner.