In various examples, a VPU and associated components may be optimized to improve VPU performance and throughput. For example, the VPU may include a min/max collector, automatic store predication functionality, a SIMD data path organization that allows for inter-lane sharing, a transposed load/store with stride parameter functionality, a load with permute and zero insertion functionality, hardware, logic, and memory layout functionality to allow for two point and two by two point lookups, and per memory bank load caching capabilities. In addition, decoupled accelerators may be used to offload VPU processing tasks to increase throughput and performance, and a hardware sequencer may be included in a DMA system to reduce programming complexity of the VPU and the DMA system. The DMA and VPU may execute a VPU configuration mode that allows the VPU and DMA to operate without a processing controller for performing dynamic region based data movement operations.

In various examples, a VPU and associated components may be optimized to improve VPU performance and throughput. For example, the VPU may include a min/max collector, automatic store predication functionality, a SIMD data path organization that allows for inter-lane sharing, a transposed load/store with stride parameter functionality, a load with permute and zero insertion functionality, hardware, logic, and memory layout functionality to allow for two point and two by two point lookups, and per memory bank load caching capabilities. In addition, decoupled accelerators may be used to offload VPU processing tasks to increase throughput and performance, and a hardware sequencer may be included in a DMA system to reduce programming complexity of the VPU and the DMA system. The DMA and VPU may execute a VPU configuration mode that allows the VPU and DMA to operate without a processing controller for performing dynamic region based data movement operations.

In various examples, a VPU and associated components may be optimized to improve VPU performance and throughput. For example, the VPU may include a min/max collector, automatic store predication functionality, a SIMD data path organization that allows for inter-lane sharing, a transposed load/store with stride parameter functionality, a load with permute and zero insertion functionality, hardware, logic, and memory layout functionality to allow for two point and two by two point lookups, and per memory bank load caching capabilities. In addition, decoupled accelerators may be used to offload VPU processing tasks to increase throughput and performance, and a hardware sequencer may be included in a DMA system to reduce programming complexity of the VPU and the DMA system. The DMA and VPU may execute a VPU configuration mode that allows the VPU and DMA to operate without a processing controller for performing dynamic region based data movement operations.

In various examples, a VPU and associated components may be optimized to improve VPU performance and throughput. For example, the VPU may include a min/max collector, automatic store predication functionality, a SIMD data path organization that allows for inter-lane sharing, a transposed load/store with stride parameter functionality, a load with permute and zero insertion functionality, hardware, logic, and memory layout functionality to allow for two point and two by two point lookups, and per memory bank load caching capabilities. In addition, decoupled accelerators may be used to offload VPU processing tasks to increase throughput and performance, and a hardware sequencer may be included in a DMA system to reduce programming complexity of the VPU and the DMA system. The DMA and VPU may execute a VPU configuration mode that allows the VPU and DMA to operate without a processing controller for performing dynamic region based data movement operations.

Embodiments of the present invention provide a system, a method, and an electronic device for the cloud-based configuration of FPGA configuration data. The system includes a control module internal to an FPGA and a storage module external to the FPGA. The storage module is configured to store configuration data transmitted from a cloud, and the control module is configured to retrieve the configuration data from the storage module and to configure a corresponding processing unit of the FPGA according to the configuration data. In the embodiments of the present invention, the control module internal to the FPGA is provided, and configuration data is retrieved from the storage module external to the FPGA to configure the corresponding processing unit of the FPGA. Accordingly, during FPGA data migration, the configuration data stored in the external storage module can be directly migrated by using a general data migration method, thereby implementing live migration of FPGA data.

Embodiments of the present invention provide a system, a method, and an electronic device for the cloud-based configuration of FPGA configuration data. The system includes a control module internal to an FPGA and a storage module external to the FPGA. The storage module is configured to store configuration data transmitted from a cloud, and the control module is configured to retrieve the configuration data from the storage module and to configure a corresponding processing unit of the FPGA according to the configuration data. In the embodiments of the present invention, the control module internal to the FPGA is provided, and configuration data is retrieved from the storage module external to the FPGA to configure the corresponding processing unit of the FPGA. Accordingly, during FPGA data migration, the configuration data stored in the external storage module can be directly migrated by using a general data migration method, thereby implementing live migration of FPGA data.

An engine architecture for processing finite automata includes a hyper non-deterministic automata (HNA) processor specialized for non-deterministic finite automata (NFA) processing. The HNA processor includes a plurality of super-clusters and an HNA scheduler. Each super-cluster includes a plurality of clusters. Each cluster of the plurality of clusters includes a plurality of HNA processing units (HPUs). A corresponding plurality of HPUs of a corresponding plurality of clusters of at least one selected super-cluster is available as a resource pool of HPUs to the HNA scheduler for assignment of at least one HNA instruction to enable acceleration of a match of at least one regular expression pattern in an input stream received from a network.

An engine architecture for processing finite automata includes a hyper non-deterministic automata (HNA) processor specialized for non-deterministic finite automata (NFA) processing. The HNA processor includes a plurality of super-clusters and an HNA scheduler. Each super-cluster includes a plurality of clusters. Each cluster of the plurality of clusters includes a plurality of HNA processing units (HPUs). A corresponding plurality of HPUs of a corresponding plurality of clusters of at least one selected super-cluster is available as a resource pool of HPUs to the HNA scheduler for assignment of at least one HNA instruction to enable acceleration of a match of at least one regular expression pattern in an input stream received from a network.

An interface comprises routing circuitry configured to receive data items from a data source device and to route the received data items to a data sink device by either a first data path including a data buffer or a second data path, in response to an indication of a current state of a data sink device; the routing circuitry being configured to route the received data item by the first data path and to initiate a transition of the data sink device to a ready state in response to an indication that the data sink device is in a quiescent mode and currently not ready to receive the data item, the routing circuitry being configured to hold the data item at the buffer and to inhibit the data source device from sending further data items until the routing circuitry receives a subsequent indication that the data sink device is ready to receive the data item; and the routing circuitry being configured to route the received data item by the second data path in response to an indication that the data sink device is currently ready to receive the data item.

An interface comprises routing circuitry configured to receive data items from a data source device and to route the received data items to a data sink device by either a first data path including a data buffer or a second data path, in response to an indication of a current state of a data sink device; the routing circuitry being configured to route the received data item by the first data path and to initiate a transition of the data sink device to a ready state in response to an indication that the data sink device is in a quiescent mode and currently not ready to receive the data item, the routing circuitry being configured to hold the data item at the buffer and to inhibit the data source device from sending further data items until the routing circuitry receives a subsequent indication that the data sink device is ready to receive the data item; and the routing circuitry being configured to route the received data item by the second data path in response to an indication that the data sink device is currently ready to receive the data item.