Abstract: Examples herein relate to decoding tokens using speculative decoding operations to decode tokens at an offset from a token decoded by a sequential decoding operation. At a checkpoint, a determination is made as to whether tokens to be decoded by the sequential and speculative decoding operations align. If there is alignment, the speculatively decoded tokens after a discard window are committed and made available for access. If there is not alignment, the speculatively decoded tokens are discarded. A miss in alignment and a fullness level of a buffer that stores speculatively decoded tokens are assessed to determine a next offset level for a start of speculative decoding. A size of a discard window can be set using a relationship based on the offset level to improve buffer utilization and to attempt to improve changes of alignments.

Abstract: An apparatus is provided which comprises: a first stage of physically unclonable function (PUF) circuits to receive an n-bit challenge, wherein the first stage of PUF circuits comprise a subset of ‘n’ PUF cells each of which is to generate an output bit; and a first stage of cipher blocks to receive the output bits from the subset of ‘n’ PUF cells, wherein the first stage of cipher blocks is to generate a plurality of bits.

Abstract: In one embodiment, a processor comprises a multiplier circuit to operate in an integer multiplication mode responsive to a first value of a configuration parameter; and operate in a carry-less multiplication mode responsive to a second value of the configuration parameter.

Abstract: Computing devices and techniques for performing modular exponentiation for a data encryption process are described. In one embodiment, for example, an apparatus may include at least one memory logic for an encryption unit to perform encryption according to RSA encryption using a parallel reduction multiplier (PRM) MM process, at least a portion of the logic comprised in hardware coupled to the at least one memory and the at least one wireless transmitter, the logic to precompute a reduction coefficient, determine an operand product and a reduction product in parallel, the reduction product based on the reduction coefficient, and generate a MM result for the PRM MM process based on the operand product and the reduction product. Other embodiments are described and claimed.

Abstract: Methods and apparatus to parallelize data decompression are disclosed. An example method selecting initial starting positions in a compressed data bitstream; adjusting a first one of the initial starting positions to determine a first adjusted starting position by decoding the bitstream starting at a training position in the bitstream, the decoding including traversing the bitstream from the training position as though first data located at the training position is a valid token; outputting first decoded data generated by decoding a first segment of the bitstream starting from the first adjusted starting position; and merging the first decoded data with second decoded data generated by decoding a second segment of the bitstream, the decoding of the second segment starting from a second position in the bitstream and being performed in parallel with the decoding of the first segment, and the second segment preceding the first segment in the bitstream.

Abstract: Some embodiments include apparatuses having diffusion regions located adjacent each other in a substrate, and connections coupled to the diffusion regions. The diffusion regions include first diffusion regions, second diffusion regions, and third diffusion regions. One of the second diffusion regions and one of the third diffusion regions are between two of the first diffusion regions. One of the first diffusion regions and one of the third diffusion regions are between two of the second diffusion regions. The connections include a first connection coupled to each of the first diffusion regions, a second connection coupled to each of the second diffusion regions, and a third connection coupled to each of the third diffusion regions.

Abstract: Modifications to Advanced Encryption Standard (AES) hardware acceleration circuitry are described to allow hardware acceleration of the key operations of any non-AES block cipher, such as SMT and Camellia. In some embodiments the GF(28) inverse computation circuit in the AES S-box is used to compute X?1 (where X is the input plaintext or ciphertext byte), and hardware support is added to compute parallel GF(28) matrix multiplications. The embodiments described herein have minimal hardware overhead while achieving greater speed than software implementations.

Abstract: In one embodiment, a processor comprises a multiplier circuit to operate in an integer multiplication mode responsive to a first value of a configuration parameter; and operate in a carry-less multiplication mode responsive to a second value of the configuration parameter.

Abstract: This application sets forth methods and apparatus to parallelize data decompression. An example method selecting initial starting positions in a compressed data bitstream; adjusting a first one of the initial starting positions to determine a first adjusted starting position by decoding the bitstream starting at a training position in the bitstream, the decoding including traversing the bitstream from the training position as though first data located at the training position is a valid token; outputting first decoded data generated by decoding a first segment of the bitstream starting from the first adjusted starting position; and merging the first decoded data with second decoded data generated by decoding a second segment of the bitstream, the decoding of the second segment starting from a second position in the bitstream and being performed in parallel with the decoding of the first segment, and the second segment preceding the first segment in the bitstream.

Abstract: A processing system includes a processor to construct an input message comprising a target value and a nonce and a hardware accelerator, communicatively coupled to the processor, implementing a plurality of circuits to perform stage-1 secure hash algorithm (SHA) hash and stage-2 SHA hash, wherein to perform the stage-2 SHA hash, the hardware accelerator is to perform a plurality of rounds of compression on state data stored in a plurality of registers associated with a stage-2 SHA hash circuit using an input value, calculate a plurality of speculative computation bits using a plurality of bits of the state data, and transmit the plurality of speculative computation bits to the processor.

Abstract: A processing system includes a processing core and a hardware accelerator communicatively coupled to the processing core. The hardware accelerator includes a random number generator to generate a byte order indicator. The hardware accelerator also includes a first switching module communicatively coupled to the random value indicator generator. The switching module receives an byte sequence in an encryption round of the cryptographic operation and feeds a portion of the input byte sequence to one of a first substitute box (S-box) module or a second S-box module in view of a byte order indicator value generated by the random number generator.

Abstract: Described is an apparatus comprising an S-box circuitry operable to convert a value on an input into a value on an output in accordance with an Advanced Encryption Standard (AES) Rijndael S-box matrix. The apparatus also comprises a pseudo-random number generation (PRG) circuitry operable to provide a sequence of pseudo-random numbers on a first output and a registered copy of the sequence on a second output. The apparatus further comprises a mask circuitry operable to provide an XOR of a value on the output of the S box circuitry and a value on the first output of the PRG circuitry. The apparatus additionally comprises a mask removal circuitry operable to provide an XOR of a value on an output of the data register circuitry, a value coupled to an output of a key register circuitry, and a value on the second output of the PRG circuitry.

Abstract: In one embodiment, an apparatus includes: a hardware accelerator to execute cryptography operations including a Rivest Shamir Adleman (RSA) operation and an elliptic curve cryptography (ECC) operation. The hardware accelerator may include: a multiplier circuit comprising a parallel combinatorial multiplier; and an ECC circuit coupled to the multiplier circuit to execute the ECC operation. The ECC circuit may compute a prime field multiplication using the multiplier circuit and reduce a result of the prime field multiplication in a plurality of addition and subtraction operations for a first type of prime modulus. The hardware accelerator may execute the RSA operation using the multiplier circuit. Other embodiments are described and claimed.

Abstract: Methods and apparatuses relating to data decompression are described. In one embodiment, a hardware processor includes a core to execute a thread and offload a decompression thread for an encoded, compressed data stream comprising a literal code, a length code, and a distance code, and a hardware decompression accelerator to execute the decompression thread to selectively provide the encoded, compressed data stream to a first circuit to serially decode the literal code to a literal symbol, serially decode the length code to a length symbol, and serially decode the distance code to a distance symbol, and selectively provide the encoded, compressed data stream to a second circuit to look up the literal symbol for the literal code from a table, look up the length symbol for the length code from the table, and look up the distance symbol for the distance code from the table.

Abstract: Various embodiments are generally directed to techniques to power encryption circuitry, such as with a power converter, for instance. Some embodiments are particularly directed to a power converter that utilizes one or more capacitors to power encryption circuitry while masking the power signature of the encryption circuitry. In one or more embodiments, for example, a power converter may charge a capacitor with a power source of a computing platform, and then power encryption circuitry with the capacitor to perform a first portion of an encryption operation. In one or more such embodiments, the power converter may recharge the capacitor with the power source after completion of the first portion of the encryption operation, and perform a second portion of the encryption operation.

Abstract: In one embodiment, an apparatus comprises a multiplier circuit to: identify a point multiply operation to be performed by the multiplier circuit, wherein the point multiply operation comprises point multiplication of a first plurality of operands; identify a point add operation associated with the point multiply operation, wherein the point add operation comprises point addition of a second plurality of operands, wherein the second plurality of operands comprises a first point and a second point, and wherein the first point and the second point are associated with a first coordinate system; convert the second point from the first coordinate system to a second coordinate system; perform the point add operation based on the first point associated with the first coordinate system and the second point associated with the second coordinate system; and perform the point multiply operation based on a result of the point add operation.

Abstract: Methods and apparatus to parallelize data decompression are disclosed. An example method selecting initial starting positions in a compressed data bitstream; adjusting a first one of the initial starting positions to determine a first adjusted starting position by decoding the bitstream starting at a training position in the bitstream, the decoding including traversing the bitstream from the training position as though first data located at the training position is a valid token; outputting first decoded data generated by decoding a first segment of the bitstream starting from the first adjusted starting position; and merging the first decoded data with second decoded data generated by decoding a second segment of the bitstream, the decoding of the second segment starting from a second position in the bitstream and being performed in parallel with the decoding of the first segment, and the second segment preceding the first segment in the bitstream.

Abstract: Described is an apparatus comprising precharge paths including first clocked transistors having gates coupled to a clock signal path, first terminals coupled to a first power rail, and second terminals coupled to one or more first junction nodes. The precharge paths lack a keeper circuitry, have a configurable keeper circuitry, and/or have cross-coupled keeper circuitry to eliminate/reduce keeper contention during domino logic evaluation. The apparatus may comprise second clocked transistors having gates coupled to the clock signal path, first terminals coupled to one or more second junction nodes, and second terminals coupled to a second power rail. The apparatus may comprise sets of evaluation transistors having conducting channels coupled in series, coupled to the one or more first junction nodes, and coupled to one of the one or more second junction nodes. A NAND or inverter circuitry with inputs is coupled to the one or more first junction nodes.

Abstract: In one embodiment, an apparatus comprises a multiplier circuit to: identify a plurality of partial products associated with a multiply operation; partition the plurality of partial products into a first set of partial products, a second set of partial products, and a third set of partial products; determine whether the multiply operation is associated with a square operation; upon a determination that the multiply operation is associated with the square operation, compute a result based on the first set of partial products and the third set of partial products; and upon a determination that the multiply operation is not associated with the square operation, compute the result based on the first set of partial products, the second set of partial products, and the third set of partial products.

Abstract: A processing system includes a memory and a cryptographic accelerator module operatively coupled to the memory, the cryptographic accelerator module employed to implement a byte substitute operation by performing: a first mapped affine transformation of an input bit sequence to produce a first intermediate bit sequence, an inverse transformation of the first intermediate bit sequence to produce a second intermediate bit sequence, and a second mapped affine transformation of the second intermediate bit sequence to produce an output bit sequence.