Abstract: Embodiments are directed to systems and methods of implementing an analog neural network using a pipelined SRAM architecture (“PISA”) circuitry disposed in on-chip processor memory circuitry. The on-chip processor memory circuitry may include processor last level cache (LLC) circuitry. One or more physical parameters, such as a stored charge or voltage, may be used to permit the generation of an in-memory analog output using a SRAM array. The generation of an in-memory analog output using only word-line and bit-line capabilities beneficially increases the computational density of the PISA circuit without increasing power requirements.

Abstract: In one example an apparatus comprises a computer readable memory, an XMSS verification manager logic to manage XMSS verification functions, a one-time signature and public key generator logic, a chain function logic to implement chain function algorithms, a low latency SHA3 hardware engine, and a register bank communicatively coupled to the XMSS verification manager logic. Other examples may be described.

Abstract: A method comprises generating, during an enrollment process conducted in a controlled environment, a dark bit mask comprising a plurality of state information values derived from a plurality of entropy sources at a plurality of operating conditions for an electronic device, and using at least a portion of the plurality of state information values to generate a set of challenge-response pairs for use in an authentication process for the electronic device.

Abstract: A mechanism is described for facilitating unified accelerator for classical and post-quantum digital signature schemes in computing environments. A method includes unifying classical cryptography and post-quantum cryptography through a unified hardware accelerator hosted by a trusted platform of the computing device. The method may further include facilitating unification of a first finite state machine associated with the classical cryptography and a second finite state machine associated with the post-quantum cryptography though one or more of a single the hash engine, a set of register file banks, and a modular exponentiation engine.

Abstract: The present disclosure is directed to systems and methods of implementing a neural network using in-memory, bit-serial, mathematical operations performed by a pipelined SRAM architecture (bit-serial PISA) circuitry disposed in on-chip processor memory circuitry. The on-chip processor memory circuitry may include processor last level cache (LLC) circuitry. The bit-serial PISA circuitry is coupled to PISA memory circuitry via a relatively high-bandwidth connection to beneficially facilitate the storage and retrieval of layer weights by the bit-serial PISA circuitry during execution. Direct memory access (DMA) circuitry transfers the neural network model and input data from system memory to the bit-serial PISA memory and also transfers output data from the PISA memory circuitry to system memory circuitry.

Abstract: In one example an apparatus comprises a computer readable memory, an XMSS verification manager logic to manage XMSS verification functions, a one-time signature and public key generator logic, a chain function logic to implement chain function algorithms, a low latency SHA3 hardware engine, and a register bank communicatively coupled to the XMSS verification manager logic. Other examples may be described.

Abstract: In one example an apparatus comprises a computer readable memory, an XMSS operations logic to manage XMSS functions, a chain function controller to manage chain function algorithms, a secure hash algorithm-2 (SHA2) accelerator, a secure hash algorithm-3 (SHA3) accelerator, and a register bank shared between the SHA2 accelerator and the SHA3 accelerator. Other examples may be described.

Abstract: Apparatus and method for resisting side-channel attacks on cryptographic engines are described herein. An apparatus embodiment includes a cryptographic block coupled to a non-linear low-dropout voltage regulator (NL-LDO). The NL-LDO includes a scalable power train to provide a variable load current to the cryptographic block, randomization circuitry to generate randomized values for setting a plurality of parameters, and a controller to adjust the variable load current provided to the cryptographic block based on the parameters and the current voltage of the cryptographic block. The controller to cause a decrease in the variable load current when the current voltage is above a high voltage threshold, an increase in the variable load current when the current voltage is below a low voltage threshold; and a maximization of the variable load current when the current voltage is below an undervoltage threshold. The cryptographic block may be implemented with arithmetic transformations.

Abstract: The present disclosure is directed to systems and methods of bit-serial, in-memory, execution of at least an nth layer of a multi-layer neural network in a first on-chip processor memory circuitry portion contemporaneous with prefetching and storing layer weights associated with the (n+1)st layer of the multi-layer neural network in a second on-chip processor memory circuitry portion. The storage of layer weights in on-chip processor memory circuitry beneficially decreases the time required to transfer the layer weights upon execution of the (n+1)st layer of the multi-layer neural network by the first on-chip processor memory circuitry portion. In addition, the on-chip processor memory circuitry may include a third on-chip processor memory circuitry portion used to store intermediate and/or final input/output values associated with one or more layers included in the multi-layer neural network.

Abstract: A memory circuit includes a number (X) of multiply-accumulate (MAC) circuits that are dynamically configurable. The MAC circuits can either compute an output based on computations of X elements of the input vector with the weight vector, or to compute the output based on computations of a single element of the input vector with the weight vector, with each element having a one bit or multibit length. A first memory can hold the input vector having a width of X elements and a second memory can store the weight vector. The MAC circuits include a MAC array on chip with the first memory.

Abstract: In one example an apparatus comprises a computer-readable memory, signature logic to compute a message hash of an input message using a secure hash algorithm, process the message hash to generate an array of secret key components for the input message, apply a hash chain function to the array of secret key components to generate an array of signature components, the hash chain function comprising a series of even-index hash chains and a series of odd-index hash chains, wherein the even-index hash chains and the odd-index hash chains generate a plurality of intermediate node values and a one-time public key component between the secret key components and the signature components and store at least some of the intermediate node values in the computer-readable memory for use in one or more subsequent signature operations. Other examples may be described.

Abstract: In one example an apparatus comprises a computer readable memory, hash logic to generate a message hash value based on an input message, signature logic to generate a signature to be transmitted in association with the message, the signature logic to apply a hash-based signature scheme to a private key to generate the signature comprising a public key, and accelerator logic to pre-compute at least one set of inputs to the signature logic. Other examples may be described.

Abstract: In one example an apparatus comprises a computer readable memory, an XMSS operations logic to manage XMSS functions, a chain function controller to manage chain function algorithms, a secure hash algorithm-2 (SHA2) accelerator, a secure hash algorithm-3 (SHA3) accelerator, and a register bank shared between the SHA2 accelerator and the SHA3 accelerator. Other examples may be described.

Abstract: Embodiments are directed to post quantum public key signature operation for reconfigurable circuit devices. An embodiment of an apparatus includes one or more processors; and a reconfigurable circuit device, the reconfigurable circuit device including a dedicated cryptographic hash hardware engine, and a reconfigurable fabric including logic elements (LEs), wherein the one or more processors are to configure the reconfigurable circuit device for public key signature operation, including mapping a state machine for public key generation and verification to the reconfigurable fabric, including mapping one or more cryptographic hash engines to the reconfigurable fabric, and combining the dedicated cryptographic hash hardware engine with the one or more mapped cryptographic hash engines for cryptographic signature generation and verification.

Abstract: An integrated circuit (IC), as a computation block of a neuromorphic system, includes a time step controller to activate a time step update signal for performing a time-multiplexed selection of a group of neuromorphic states to update. The IC includes a first circuitry to, responsive to detecting the time step update signal for a selected group of neuromorphic states: generate an outgoing data signal in response to determining that a first membrane potential of the selected group of neuromorphic states exceeds a threshold value, wherein the outgoing data signal includes an identifier that identifies the selected group of neuromorphic states and a memory address (wherein the memory address corresponds to a location in a memory block associated with the integrated circuit), and update a state of the selected group of neuromorphic states in response to generation of the outgoing data signal.

Abstract: An apparatus includes a processor to generate a random exponent having a fixed bit width, divide the random exponent into a pre-exponent portion and a post-exponent portion at a random bit position in the fixed bit width, and generate a cryptographic key using the pre-exponent portion and the post exponent portion

Abstract: In one example an apparatus comprises a computer readable memory, a signature logic to generate a signature to be transmitted in association with a message, the signature logic to apply a hash-based signature scheme to the message using a private key to generate the signature comprising a public key, or a verification logic to verify a signature received in association with the message, the verification logic to apply the hash-based signature scheme to verify the signature using the public key, and an accelerator logic to apply a structured order to at least one set of inputs to the hash-based signature scheme. Other examples may be described.

Abstract: Techniques and mechanisms to facilitate Bitcoin mining operations which support version rolling. In an embodiment, Bitcoin mining circuitry comprises a first scheduler, a first digest, a second scheduler and a second digest arranged in a pipeline configuration. Hash circuitry calculates a first plurality of hashes each based on first bits of a Merkle root, and on a different respective identifier of a Bitcoin protocol version. The first scheduler generates first message schedules each based on second bits of the Merkle root, and on a different respective nonce value. In another embodiment, the first scheduler successively provides the first message schedules to the first digest, wherein, for each such providing of one of the first message schedules, the first digest, second scheduler and second digest successively generate second hashes each based on the provided one of the first message schedules, and on a different respective one of the first hashes.

Abstract: In one example an apparatus comprises a computer readable memory, a signature logic to generate a signature to be transmitted in association with a message, the signature logic to apply a hash-based signature scheme to the message using a private key to generate the signature comprising a public key, or a verification logic to verify a signature received in association with the message, the verification logic to apply the hash-based signature scheme to verify the signature using the public key, and an accelerator logic to apply a structured order to at least one set of inputs to the hash-based signature scheme. Other examples may be described.

Abstract: An apparatus is described. The apparatus includes a compute-in-memory (CIM) circuit for implementing a neural network disposed on a semiconductor chip. The CIM circuit includes a mathematical computation circuit coupled to a memory array. The memory array includes an embedded dynamic random access memory (eDRAM) memory array. Another apparatus is described. The apparatus includes a compute-in-memory (CIM) circuit for implementing a neural network disposed on a semiconductor chip. The CIM circuit includes a mathematical computation circuit coupled to a memory array. The mathematical computation circuit includes a switched capacitor circuit. The switched capacitor circuit includes a back-end-of-line (BEOL) capacitor coupled to a thin film transistor within the metal/dielectric layers of the semiconductor chip. Another apparatus is described. The apparatus includes a compute-in-memory (CIM) circuit for implementing a neural network disposed on a semiconductor chip.