Provided are embodiments for a computer-implemented method for routing standard cells of an integrated circuit. Embodiments include obtaining a layout of a plurality of standard cells for routing, and determining existing output connections for each of the plurality of standard cells. Embodiments can also include generating a representation for the layout removing the existing output connections for each of the plurality of standard cells; and providing the representation of the layout to an autorouter. Also provided are embodiments for a system and computer program product for routing standard cells of an integrated circuit.

The invention comprises (i) a compilation method for automatically converting a single-threaded software program into an application-specific supercomputer, and (ii) the supercomputer system structure generated as a result of applying this method. The compilation method comprises: (a) Converting an arbitrary code fragment from the application into customized hardware whose execution is functionally equivalent to the software execution of the code fragment; and (b) Generating interfaces on the hardware and software parts of the application, which (i) Perform a software-to-hardware program state transfer at the entries of the code fragment; (ii) Perform a hardware-to-software program state transfer at the exits of the code fragment; and (iii) Maintain memory coherence between the software and hardware memories. If the resulting hardware design is large, it is divided into partitions such that each partition can fit into a single chip. Then, a single union chip is created which can realize any of the partitions.

The present disclosure relates to a method for use with an electronic design. Embodiments may include receiving one or more user defined processor configurations at a processor generator. Embodiments may also include generating a customized testbench based upon, at least in part, the user defined processor configurations and generating an RTL model while the customized testbench is generating.

Learning-based power modeling of a processor core includes generating, using computer hardware, pipeline snapshot data specifying a plurality of snapshots for a pipeline of a processor core. Each snapshot specifies a state of the pipeline for a clock cycle in executing a computer program over a plurality of clock cycles. A plurality of estimates of power consumption for the processor core in executing the computer program for the plurality of clock cycles are determined, using an instruction-based power model executed by the computer hardware, a based on the pipeline snapshot data. The plurality of estimates of power consumption are calculated using the instruction-based power model based on the plurality of snapshots over the plurality of clock cycles.

Out-of-bounds recovery circuits configured to detect an out-of-bounds violation in an electronic device, and cause the electronic device to transition to a predetermined safe state when an out-of-bounds violation is detected. The out-of-bounds recovery circuits include detection logic configured to detect that an out-of-bounds violation has occurred when a processing element of the electronic device has fetched an instruction from an unallowable memory address range for the current operating state of the electronic device; and transition logic configured to cause the electronic device to transition to a predetermined safe state when an out-of-bounds violation has been detected by the detection logic.

Systems or methods of the present disclosure may provide a library including multiple personas that may be pre-generated by a manufacturer and/or custom generated by a designer that may be used to implement a design onto an integrated circuit device. The design may be decomposed into one or more personas to be implemented as coarse-grained operations on the integrated circuit device, thereby decreasing compilation time experienced by the designer. The personas may be loaded into one or more regions of the integrated circuit device to realize the design. That is, the design may be realized by one persona may be implemented across multiple regions, one region may be configured by multiple personas, one persona configuring one region, or any combination thereof. Additionally or alternatively, the integrated circuit device may include networks-on-chip to improve data routing between the regions.

Parallel quantum circuit execution is disclosed. When executing a quantum circuit, runtime characteristics of multiple quantum processing units are predicted and some of the quantum processing units are selected. The quantum circuit is executed in parallel at the selected quantum processing units.

A quantum processor includes: a first chip comprising a qubit array, in which a plurality of qubits within the qubit array define an enclosed region on the first chip, in which each qubit of the plurality of qubits that define the enclosed region is arranged to directly electromagnetically couple to an adjacent qubit of the plurality of qubits that define the enclosed region, and in which each qubit of the qubit array comprises at least two superconductor islands, and a second chip bonded to the first chip, the second chip including one or more qubit control elements, in which the qubit control elements are positioned directly over the enclosed region of the first chip.

In an approach, a processor receives an input indicative of a set of registers, the set of registers being configured for obtaining output data from a design-under-test (DUT) in a field-programmable gate array (FPGA) module. A processor executes a set of instructions for monitoring the output data in the set of registers;. A processor generates data indicative of at least one portion of changes of the output data in the set of registers during the execution of the set of instructions. A processor causes a separate machine to analyze the data via utilizing an interface to send the data to the separate machine.

A core simulator includes one or more simulated processors, a trace-based traffic generator, and a simulated memory subsystem. Each simulated processor includes a core element and at least one lower-level cache excluded from the core element. The trace-based traffic generator includes a plurality of modeled caches that model the at least lower-level cache without modeling the core element. The trace-based traffic generator is configured to receive at least one workload trace and based on the workload trace simulate actual memory traffic to be processed by the simulated memory subsystem. The simulated memory subsystem is shared between the at least one simulated processor and the trace-based traffic generator. The trace-based traffic generator performs a data exchange with the memory subsystem based on the at least one workload trace. The data exchange impacts a measured performance of the at least one simulated processor.