Abstract: Systems and methods for implementing accelerated memory transfers in an integrated circuit includes configuring a region of memory of an on-chip data buffer based on a neural network computation graph, wherein configuring the region of memory includes: partitioning the region of memory of the on-chip data buffer to include a first distinct sub-region of memory and a second distinct sub-region of memory; initializing a plurality of distinct memory transfer operations from the off-chip main memory to the on-chip data buffer; executing a first set of memory transfer operations that includes writing a first set of computational components to the first distinct sub-region of memory, and while executing, using the integrated circuit, a leading computation based on the first set of computational components, executing a second set of memory transfer operations to the second distinct sub-region of memory for an impending computation.

Abstract: Devices and circuitry for computing hash values.

Abstract: Systems and methods for fetchless acceleration of convolutional loops on an integrated circuit include identifying, by a compiler, finite state machine (FSM) initialization parameters based on computational requirements of a computational loop; initializing a programmable FSM based on the FSM initialization parameters, wherein the FSM initialization parameters include a loop iteration parameter identifying a number of computation cycles of the computational loop; executing the programmable FSM to enable fetchless computations by: generating a plurality of computational loop control signals including a distinct computation loop control signal for each of the number of computation cycles of the computational loop based on the loop iteration parameter; and controlling an execution of a plurality of computation cycles of a computational circuit performing the computational loop based on transmitting the plurality of computational loop control signals until the number of computation cycles of the computation loop

Abstract: Systems and methods for implementing accelerated memory transfers in an integrated circuit includes configuring a region of memory of an on-chip data buffer based on a neural network computation graph, wherein configuring the region of memory includes: partitioning the region of memory of the on-chip data buffer to include a first distinct sub-region of memory and a second distinct sub-region of memory; initializing a plurality of distinct memory transfer operations from the off-chip main memory to the on-chip data buffer; executing a first set of memory transfer operations that includes writing a first set of computational components to the first distinct sub-region of memory, and while executing, using the integrated circuit, a leading computation based on the first set of computational components, executing a second set of memory transfer operations to the second distinct sub-region of memory for an impending computation.

Abstract: Systems and methods for fetchless acceleration of convolutional loops on an integrated circuit include identifying, by a compiler, finite state machine (FSM) initialization parameters based on computational requirements of a computational loop; initializing a programmable FSM based on the FSM initialization parameters, wherein the FSM initialization parameters include a loop iteration parameter identifying a number of computation cycles of the computational loop; executing the programmable FSM to enable fetchless computations by: generating a plurality of computational loop control signals including a distinct computation loop control signal for each of the number of computation cycles of the computational loop based on the loop iteration parameter; and controlling an execution of a plurality of computation cycles of a computational circuit performing the computational loop based on transmitting the plurality of computational loop control signals until the number of computation cycles of the computation loop

Abstract: Systems and methods for implementing accelerated memory transfers in an integrated circuit includes configuring a region of memory of an on-chip data buffer based on a neural network computation graph, wherein configuring the region of memory includes: partitioning the region of memory of the on-chip data buffer to include a first distinct sub-region of memory and a second distinct sub-region of memory; initializing a plurality of distinct memory transfer operations from the off-chip main memory to the on-chip data buffer; executing a first set of memory transfer operations that includes writing a first set of computational components to the first distinct sub-region of memory, and while executing, using the integrated circuit, a leading computation based on the first set of computational components, executing a second set of memory transfer operations to the second distinct sub-region of memory for an impending computation.

Abstract: Systems and methods for implementing accelerated memory transfers in an integrated circuit includes configuring a region of memory of an on-chip data buffer based on a neural network computation graph, wherein configuring the region of memory includes: partitioning the region of memory of the on-chip data buffer to include a first distinct sub-region of memory and a second distinct sub-region of memory; initializing a plurality of distinct memory transfer operations from the off-chip main memory to the on-chip data buffer; executing a first set of memory transfer operations that includes writing a first set of computational components to the first distinct sub-region of memory, and while executing, using the integrated circuit, a leading computation based on the first set of computational components, executing a second set of memory transfer operations to the second distinct sub-region of memory for an impending computation.

Abstract: Systems and methods for fetchless acceleration of convolutional loops on an integrated circuit include identifying, by a compiler, finite state machine (FSM) initialization parameters based on computational requirements of a computational loop; initializing a programmable FSM based on the FSM initialization parameters, wherein the FSM initialization parameters include a loop iteration parameter identifying a number of computation cycles of the computational loop; executing the programmable FSM to enable fetchless computations by: generating a plurality of computational loop control signals including a distinct computation loop control signal for each of the number of computation cycles of the computational loop based on the loop iteration parameter; and controlling an execution of a plurality of computation cycles of a computational circuit performing the computational loop based on transmitting the plurality of computational loop control signals until the number of computation cycles of the computation loop

Abstract: Systems and methods for accessing remote digital services by using embedded circuitry included in an electronic device.

Abstract: Systems and methods of configuring an array of processors of an integrated circuit includes identifying a fast Fourier transform (FFT) matrix multiply of input data, wherein the FFT matrix multiply of the input data includes a bit-reversed input array, configuring the array of processing cores based on the bit-reversed input array, wherein the configuring the array of processing cores includes storing the input bits of the bit-reversed input array within memory circuits of distinct processing cores of an array of processing cores of the integrated circuit based on an input bit mapping that identifies a pre-determined storage location within the array of processing cores of each input bit of the bit-reversed input array, and performing matrix multiply computations between weight stages of the FFT matrix multiply and the input bits of the bit-reversed input array stored within the memory circuits of the distinct processing cores.

Abstract: Systems and methods of configuring an array of processors of an integrated circuit includes identifying a fast Fourier transform (FFT) matrix multiply of input data, wherein the FFT matrix multiply of the input data includes a bit-reversed input array, configuring the array of processing cores based on the bit-reversed input array, wherein the configuring the array of processing cores includes storing the input bits of the bit-reversed input array within memory circuits of distinct processing cores of an array of processing cores of the integrated circuit based on an input bit mapping that identifies a pre-determined storage location within the array of processing cores of each input bit of the bit-reversed input array, and performing matrix multiply computations between weight stages of the FFT matrix multiply and the input bits of the bit-reversed input array stored within the memory circuits of the distinct processing cores.

Abstract: Systems and methods of configuring an array of processors of an integrated circuit includes identifying a fast Fourier transform (FFT) matrix multiply of input data, wherein the FFT matrix multiply of the input data includes a bit-reversed input array, configuring the array of processing cores based on the bit-reversed input array, wherein the configuring the array of processing cores includes storing the input bits of the bit-reversed input array within memory circuits of distinct processing cores of an array of processing cores of the integrated circuit based on an input bit mapping that identifies a pre-determined storage location within the array of processing cores of each input bit of the bit-reversed input array, and performing matrix multiply computations between weight stages of the FFT matrix multiply and the input bits of the bit-reversed input array stored within the memory circuits of the distinct processing cores.

Abstract: An integrated circuit may be provided with cryptocurrency mining capabilities. The integrated circuit may include control circuitry and a number of processing cores that complete a Secure Hash Algorithm 256 (SHA-256) function in parallel. Logic circuitry may be shared between multiple processing cores. Each processing core may perform sequential rounds of cryptographic hashing operations based on a hash input and message word inputs. The control circuitry may control the processing cores to complete the SHA-256 function over different search spaces. The shared logic circuitry may perform a subset of the sequential rounds for multiple processing cores. If desired, the shared logic circuitry may generate message word inputs for some of the sequential rounds across multiple processing cores. By sharing logic circuitry across cores, chip area consumption and power efficiency may be improved relative to scenarios where the cores are formed using only dedicated logic.

Abstract: Mining circuitry may be used to mine digital currency such as bitcoins by computing solutions to a cryptographic puzzle. Successful computation of a solution to the cryptographic puzzle may provide a reward of the digital currency. The mining circuitry may partition the mined reward between a first digital wallet and a second digital wallet. The first digital wallet may be user-provided, whereas the second digital wallet may be hardcoded into the dedicated mining circuitry. The mining circuitry may include control circuitry and multiple processing core circuits. The control circuitry may control the processing cores to solve the cryptographic puzzle via exhaustive search over possible inputs to the cryptographic puzzle.

Abstract: Systems and methods of implementing tile-level predication of a computing tile of an integrated circuit includes identifying a plurality of distinct predicate state values for each of a plurality of distinct processing cores of the computing tile; calculating one or more summed predicate state values for an entirety of the plurality of distinct processing cores based on performing a summation operation of the plurality of distinct predicate state values; propagating the one or more summed predicate state values to an instructions generating circuit of the integrated circuit; and identifying, by the instructions generating circuit, a tile-level predication for the computing tile based on input of the one or more summed predicate state values.

Abstract: In one embodiment, a method for improving a performance of an integrated circuit includes implementing one or more computing devices executing a compiler program that: (i) evaluates a target instruction set intended for execution by an integrated circuit; (ii) identifies one or more nested loop instructions within the target instruction set based on the evaluation; (iii) evaluates whether a most inner loop body within the one or more nested loop instructions comprises a candidate inner loop body that requires a loop optimization that mitigates an operational penalty to the integrated circuit based on one or more executional properties of the most inner loop instruction; and (iv) implements the loop optimization that modifies the target instruction set to include loop optimization instructions to control, at runtime, an execution and a termination of the most inner loop body thereby mitigating the operational penalty to the integrated circuit.

Abstract: Systems and methods of implementing tile-level predication of a computing tile of an integrated circuit includes identifying a plurality of distinct predicate state values for each of a plurality of distinct processing cores of the computing tile; calculating one or more summed predicate state values for an entirety of the plurality of distinct processing cores based on performing a summation operation of the plurality of distinct predicate state values; propagating the one or more summed predicate state values to an instructions generating circuit of the integrated circuit; and identifying, by the instructions generating circuit, a tile-level predication for the computing tile based on input of the one or more summed predicate state values.

Abstract: In one embodiment, a method for improving a performance of an integrated circuit includes implementing one or more computing devices executing a compiler program that: (i) evaluates a target instruction set intended for execution by an integrated circuit; (ii) identifies one or more nested loop instructions within the target instruction set based on the evaluation; (iii) evaluates whether a most inner loop body within the one or more nested loop instructions comprises a candidate inner loop body that requires a loop optimization that mitigates an operational penalty to the integrated circuit based on one or more executional properties of the most inner loop instruction; and (iv) implements the loop optimization that modifies the target instruction set to include loop optimization instructions to control, at runtime, an execution and a termination of the most inner loop body thereby mitigating the operational penalty to the integrated circuit.

Abstract: In one embodiment, a method for improving a performance of an integrated circuit includes implementing one or more computing devices executing a compiler program that: (i) evaluates a target instruction set intended for execution by an integrated circuit; (ii) identifies one or more nested loop instructions within the target instruction set based on the evaluation; (iii) evaluates whether a most inner loop body within the one or more nested loop instructions comprises a candidate inner loop body that requires a loop optimization that mitigates an operational penalty to the integrated circuit based on one or more executional properties of the most inner loop instruction; and (iv) implements the loop optimization that modifies the target instruction set to include loop optimization instructions to control, at runtime, an execution and a termination of the most inner loop body thereby mitigating the operational penalty to the integrated circuit.

Abstract: Systems and methods of implementing tile-level predication of a computing tile of an integrated circuit includes identifying a plurality of distinct predicate state values for each of a plurality of distinct processing cores of the computing tile; calculating one or more summed predicate state values for an entirety of the plurality of distinct processing cores based on performing a summation operation of the plurality of distinct predicate state values; propagating the one or more summed predicate state values to an instructions generating circuit of the integrated circuit; and identifying, by the instructions generating circuit, a tile-level predication for the computing tile based on input of the one or more summed predicate state values.