Disclosed in some examples, are 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).

Embodiments include an asymmetric multiprocessing (AMP) system having two or more central processing unit (CPU) clusters of a first core type and a CPU cluster of a second core type. Some embodiments include determining a control effort for an active thread group, and assigning the thread group to a first performance island according to the control effort range of the first performance island. The first performance island can include a first CPU cluster of the first core type, where a second performance island includes a second CPU cluster of the first core type, where the second performance island corresponds to a different control effort range than the first performance island. Some embodiments include assigning the first CPU cluster as a preferred CPU cluster of the first thread group, and transmitting a first signal identifying the first CPU cluster as the preferred CPU cluster assigned to the first thread group.

One embodiment provides a graphics processor including an active base die including a fabric interconnect and a chiplet including a switched fabric, wherein the chiplet couples with the active base die via an array of interconnect structures, the array of interconnect structures couple the fabric interconnect with the switched fabric, and the chiplet includes a first modular interconnect configured to couple a block of graphics processing resources to the switched fabric and a second modular interconnect configured to couple a memory subsystem with the switched fabric and the block of graphics processing resources, the memory interconnect including a set of memory controllers and a set of physical interfaces.

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.

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.

A processing acceleration system including at least one gate array that performs finite field arithmetic and at least one controller that sends information to the gate array(s) upon a determination that sending the information, performing the finite field arithmetic by the gate array(s), and sending results of the finite field arithmetic to at least one destination is more efficient than general-purpose computing processor(s) performing the finite field arithmetic and sending the results to the at least one destination. The gate array(s) may include field programmable gate array(s), and the destination(s) may include the general-purpose computing processor(s) or storage devices. The finite field arithmetic may include galois field arithmetic such as modular arithmetic, for example as may be used with respect to erasure coding for storage device(s).

An exemplary plurality of system nodes is arranged in a multi-stage modular architecture. A first system node performs a first frame processing task on a first frame of a frame sequence, and a second system node performs a second frame processing task on a second frame of the frame sequence. The first and second system nodes are included respectively, within first and second pipeline stages of the multi-stage modular architecture, and the first and second frame processing tasks are associated with the respective first and second pipeline stages. Subsequent to performing the first and second frame processing tasks, the first and second system nodes transmit the first and second frames to additional system nodes included within subsequent pipeline stages of the multi-stage modular architecture. These transmissions are synchronized so as to be performed within a predetermined threshold time of one another. Corresponding systems and methods are also disclosed.

A photoelectric computing unit, a photoelectric computing array and a photoelectric computing method. The photoelectric computing unit includes a semiconductor multifunctional region structure, which includes at least one carrier control region, at least one coupling region, and at least one photon-generated carrier collection region and readout region.

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.

Disclosed in some examples, are 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).