Abstract: A flexible aes instruction for a general purpose processor is provided that performs aes encryption or decryption using n rounds, where n includes the standard aes set of rounds {10, 12, 14}. A parameter is provided to allow the type of aes round to be selected, that is, whether it is a “last round”. In addition to standard aes, the flexible aes instruction allows an AES-like cipher with 20 rounds to be specified or a “one round” pass.

Abstract: A flexible aes instruction for a general purpose processor is provided that performs aes encryption or decryption using n rounds, where n includes the standard aes set of rounds {10, 12, 14}. A parameter is provided to allow the type of aes round to be selected, that is, whether it is a “last round”. In addition to standard aes, the flexible aes instruction allows an AES-like cipher with 20 rounds to be specified or a “one round” pass.

Abstract: A flexible aes instruction for a general purpose processor is provided that performs aes encryption or decryption using n rounds, where n includes the standard aes set of rounds {10, 12, 14}. A parameter is provided to allow the type of aes round to be selected, that is, whether it is a “last round”. In addition to standard aes, the flexible aes instruction allows an AES-like cipher with 20 rounds to be specified or a “one round” pass.

Abstract: A flexible aes instruction for a general purpose processor is provided that performs aes encryption or decryption using n rounds, where n includes the standard aes set of rounds {10, 12, 14}. A parameter is provided to allow the type of aes round to be selected, that is, whether it is a “last round”. In addition to standard aes, the flexible aes instruction allows an AES-like cipher with 20 rounds to be specified or a “one round” pass.

Abstract: A flexible aes instruction for a general purpose processor is provided that performs aes encryption or decryption using n rounds, where n includes the standard aes set of rounds {10, 12, 14}. A parameter is provided to allow the type of aes round to be selected, that is, whether it is a “last round”. In addition to standard aes, the flexible aes instruction allows an AES-like cipher with 20 rounds to be specified or a “one round” pass.

Abstract: A flexible aes instruction for a general purpose processor is provided that performs aes encryption or decryption using n rounds, where n includes the standard aes set of rounds {10, 12, 14}. A parameter is provided to allow the type of aes round to be selected, that is, whether it is a “last round”. In addition to standard aes, the flexible aes instruction allows an AES-like cipher with 20 rounds to be specified or a “one round” pass.

Abstract: A flexible aes instruction for a general purpose processor is provided that performs aes encryption or decryption using n rounds, where n includes the standard aes set of rounds {10, 12, 14}. A parameter is provided to allow the type of aes round to be selected, that is, whether it is a “last round”. In addition to standard aes, the flexible aes instruction allows an AES-like cipher with 20 rounds to be specified or a “one round” pass.

Abstract: A compression engine may be designed for more efficient error checking of a compressed stream, to include adaptation of a heterogeneous design that includes interleaved hardware and software stages of compression and decompression. An output of a string matcher may be reversed to generate a bit stream, which is then compared with an input stream to the compression engine as a first error check. A final compressed output of the compression engine may be partially decompressed to reverse entropy code encoding of an entropy code encoder. The partially decompressed output may be compared with an output of an entropy code generator to perform a second error check. Finding an error at the first error check greatly reduces the latency of generating a fault or exception, as does performing computing-intensive aspects of the compression and decompression with software instead of specialized hardware.

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: Methods and apparatus for a secure memory controller. The secure memory controller includes circuitry and logic that is programmed to prevent malicious code from overwrite protected regions of system memory. The memory controller observes memory access patterns and trains itself to identify thread stacks and addresses relating to the thread stacks including stack-frame pointers and return addresses. In one aspect, the memory controller prevents a return address from being overwritten until a proper return from a function call is detected. The memory controller is also configured to prevent malicious code from overwriting page table entries (PTEs) in page tables. Pages containing PTEs are identified, and access is prevented to the PTEs from user-mode code. The PTEs are also scanned to detect corrupted PTEs resulting from bit manipulation by malicious code.

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: 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: Example data compression methods disclosed herein include determining a first hash chain index corresponding to a first position in an input data buffer based on a first group of bytes accessed from the input data buffer beginning at a first look-ahead offset from the first position. If a first hash chain (indexed by the first hash chain index), does not satisfy a quality condition, a second hash chain index corresponding to the first position in the input data buffer based on a second group of bytes accessed from the input data buffer beginning at a second look-ahead offset from the first position is determined. The input data buffer is searched at respective adjusted buffer positions to find a second string of data bytes matching a first string of data bytes and information related to the second string of data bytes is provided to an encoder to output compressed data.

Abstract: Instructions and logic provide SIMD SM3 cryptographic hashing functionality. Some embodiments include a processor comprising: a decoder to decode instructions for a SIMD SM3 message expansion, specifying first and second source data operand sets, and an expansion extent. Processor execution units, responsive to the instruction, perform a number of SM3 message expansions, from the first and second source data operand sets, determined by the specified expansion extent and store the result into a SIMD destination register. Some embodiments also execute instructions for a SIMD SM3 hash round-slice portion of the hashing algorithm, from an intermediate hash value input, a source data set, and a round constant set. Processor execution units perform a set of SM3 hashing round iterations upon the source data set, applying the intermediate hash value input and the round constant set, and store a new hash value result in a SIMD destination register.

Abstract: Compression and decompression technology within a solid-state device (SSD) is disclosed that provides a good compression ratio while taking up less on-chip area. An input interface receives an input stream to be compressed. An output interface provides a compressed stream. A history buffer is of a fixed size that is a fraction of a size of a data buffer. Processing logic encodes into the compressed stream element types, literals and pointers, the latter which reference copies of data found elsewhere within the history buffer during compression. The history buffer may be multiple banks in width, where the data is loaded from the input stream sequentially across rows of the banks. The decompression side may be similarly designed, optionally with a different number of banks. The pointers may be a fixed two bytes including four bits for length and eleven bits for offset of back reference to a copy (or other combination).

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: Method and apparatus for performing a shift and XOR operation. In one embodiment, an apparatus includes execution resources to execute a first instruction. In response to the first instruction, said execution resources perform a shift and XOR on at least one value.

Abstract: An apparatus and method are described for processing bit streams using bit-oriented instructions. For example, a method according to one embodiment includes the operations of: executing an instruction to get bits for an operation, the instruction identifying a start bit address and a number of bits to be retrieved; retrieving the bits identified by the start bit address and number of bits from a bit-oriented register or cache; and performing a sequence of specified bit operations on the retrieved bits to generate results.

Abstract: 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.

Abstract: According to one embodiment, a processor includes an instruction decoder to receive an instruction to process a multiply-accumulate operation, the instruction having a first operand, a second operand, a third operand, and a fourth operand. The first operand is to specify a first storage location to store an accumulated value; the second operand is to specify a second storage location to store a first value and a second value; and the third operand is to specify a third storage location to store a third value. The processor further includes an execution unit coupled to the instruction decoder to perform the multiply-accumulate operation to multiply the first value with the second value to generate a multiply result and to accumulate the multiply result and at least a portion of a third value to an accumulated value based on the fourth operand.