In a general aspect, a quantum processor has a modular architecture. In some aspects, a modular quantum processor includes first and second quantum processor chips and a cap structure. The first quantum processor chip is supported on a substrate layer and includes a first plurality of qubit devices. The second quantum processor chip is supported on the substrate layer and includes a second plurality of qubit devices. The cap structure is supported on the first and second quantum processor chips and includes a coupler device that provides coupling between at least one of the first plurality of qubit devices with at least one of the second plurality of qubit devices. In some instances, the coupler device is an active coupler device that is configured to selectively couple at least one of the first plurality of qubit devices with at least one of the second plurality of qubit devices.

An example system may comprise a network-attached storage device including a base station having a hardware interface including a drive port and a connectivity port; a modular storage drive attachable to and detachable from the drive port; and a modular wireless adapter attachable to and detachable from the connectivity port. The portable storage device is formable by detaching the modular storage drive and the modular wireless adapter from the hardware interface of the network-attached storage device, and coupling the modular storage drive and the modular wireless adapter to one another via a portable hardware interface. Further, a rechargeable modular power unit is removable from the base station and attachable to and detachable from a power port of the network-attached storage device.

A system and method for enabling reconfigurable and flexible modular compute (M). The environment (100) may include modular system (M) including a first modular system (M1), a second modular system (M2), peripheral equipments (105), a network (107), and optionally, remote user device (109). The method includes placing at least one first reconfigurable block of one or more reconfigurable blocks on a first modular platform, placing at least one second reconfigurable block of one or more reconfigurable blocks on a second modular platform, placing a plurality of components surrounding the first reconfigurable block and the second reconfigurable block on respective the first modular platform and the second modular platform, configuring one or more interconnections between the plurality of components to form a modular network.

One example method includes transmitting, by an application running in a host CPU, a notification to an application in a coprocessor/accelerator indicating that inbound data generated by the application is ready, receiving, by the application in the coprocessor/accelerator, the notification and delegating, by the application in the coprocessor/accelerator, an IO command to the application running in the host CPU, forwarding, by the application running in the host CPU, the IO command to an OS of the host CPU, transmitting, by the OS of the host CPU, an IO request to an IO device, initiating, by the IO device, a P2PDMA to transmit data associated with the IO request to a memory of the coprocessor/accelerator, and processing, by the application in the coprocessor/accelerator, the data.

An electronic device includes: a host box comprising a host processor configured to control an operation of the electronic device, a host motherboard in which the host processor is disposed, and a host power supply unit (PSU) configured to supply power to a component connected to the host motherboard; and one or more extension boxes controlled by the host box, wherein each of the one or more extension boxes comprises an extension motherboard independent of the host box, and an extension PSU independent of the host box and configured to supply power to a component connected to the extension motherboard.

Methods, systems, programmable atomic units, and machine-readable mediums that provide an exception as a response to the calling processor. That is, the programmable atomic unit will send a response to the calling processor. The calling processor will recognize that the exception has been raised and will handle the exception. Because the calling processor knows which process triggered the exception, the calling processor (e.g., the Operating System) can take appropriate action, such as terminating the calling process. The calling processor may be a same processor as that executing the programmable atomic transaction, or a different processor (e.g., on a different chiplet).

Secure IoT devices and methods of use are disclosed herein. An example Internet-of-Things (IoT) device includes an interface for transmitting and receiving data on a network; and a chip comprising a reconfigurable hardware core configured to transmit the data using the interface. The reconfigurable hardware core is not vulnerable to malicious attacks can be used to replace a central processing unit (CPU) which is vulnerable to malicious attacks.

Conventionally, for processing multi-legged orders, matching engines were implemented in software and were connected through Ethernet which is very slow in terms of throughput. Such traditional trading systems failed to process orders of tokens on different machines and these were summarily rejected. Present disclosure provides multiple FPGA system being optimized for processing/executing multi-legged orders. The system includes a plurality of FPGAs which are interconnected for communication via a PCIe port of a multi-port PCIe switch. Each FPGA comprise a net processing layer, a matcher, and a look-up table. Each FPGA is configured to process tokens (e.g., securities, etc.). If orders to be processed are for tokens on same FPGA where the order is received, then tokens are processed locally. Else net processing layer of a specific FPGA routes to specific order request to another FPGA where the tokens (securities) are located thereby reducing the latency and improving overall throughput.

Apparatus and methods for processing neural network models are provided. The apparatus can comprise a plurality of identical artificial intelligence processing dies. Each artificial intelligence processing die among the plurality of identical artificial intelligence processing dies can include at least one inter-die input block and at least one inter-die output block. Each artificial intelligence processing die among the plurality of identical artificial intelligence processing dies is communicatively coupled to another artificial intelligence processing die among the plurality of identical artificial intelligence processing dies by way of one or more communication paths from the at least one inter-die output block of the artificial intelligence processing die to the at least one inter-die input block of the artificial intelligence processing die. Each artificial intelligence processing die among the plurality of identical artificial intelligence processing dies corresponds to at least one layer of a neural network.

A computer system includes a processor and a memory. The processor is located on a first circuit board having a first connector. The memory is located on a second circuit board having a second connector. The first circuit board and the second board are physically separated from each other but connect to each other through the connector. The processor and the memory are communicated to each other based on a differential signaling scheme.