Technologies for managing a single-producer and single-consumer ring include a producer of a compute node that is configured to allocate data buffers, produce work, and indicate that work has been produced. The compute node is configured to insert reference information for each of the allocated data buffers into respective elements of the ring and store the produced work into the data buffers. The compute node includes a consumer configured to request the produced work from the ring. The compute node is further configured to dequeue the reference information from each of the elements of the ring that correspond to the portion of data buffers in which the produced work has been stored, and set each of the elements of the ring for which the reference information has been dequeued to an empty (i.e., NULL) value. Other embodiments are described herein.

Systems and methods provide an extensible, multi-stage, realtime application program processing load adaptive, manycore data processing architecture shared dynamically among instances of parallelized and pipelined application software programs, according to processing load variations of said programs and their tasks and instances, as well as contractual policies. The invented techniques provide, at the same time, both application software development productivity, through presenting for software a simple, virtual static view of the actually dynamically allocated and assigned processing hardware resources, together with high program runtime performance, through scalable pipelined and parallelized program execution with minimized overhead, as well as high resource efficiency, through adaptively optimized processing resource allocation.

Systems and methods provide an extensible, multi-stage, realtime application program processing load adaptive, manycore data processing architecture shared dynamically among instances of parallelized and pipelined application software programs, according to processing load variations of said programs and their tasks and instances, as well as contractual policies. The invented techniques provide, at the same time, both application software development productivity, through presenting for software a simple, virtual static view of the actually dynamically allocated and assigned processing hardware resources, together with high program runtime performance, through scalable pipelined and parallelized program execution with minimized overhead, as well as high resource efficiency, through adaptively optimized processing resource allocation.

A hierarchical array computer architecture comprised of a master computer connected to a plurality of node computers wherein each node has a memory segment. A high speed connection scheme between the master computer and the nodes allows the master computer or individual nodes conditional access to the node memory segments. The resulting architecture creates an array computer with a large distributed memory in which each memory segment of the distributed memory has an associated computing element; the entire array being housed in a blade server type enclosure. The array computer created with this architecture provides a linear increase of processing speed corresponding to the number of nodes.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining, for each pair of adjacent chips in a plurality of chips connected in a series-ring arrangement of a semiconductor device, a corresponding loop latency for round trip data transmissions between the pair of chips. Identifying, from among the loop latencies, a maximum loop latency. Determining a ring latency for a data transmission originating from a chip of the plurality chips to be transmitted around the series-ring arrangement and back to the chip. Comparing half of the maximum loop latency to one N-th of the ring latency, where N is the number of chips in the plurality of chips, and storing the greater value as an inter-chip latency of the semiconductor device, the inter-chip latency representing an operational characteristic of the semiconductor device.

A new processing architecture is described that utilizes a data processing unit (DPU). Unlike conventional compute models that are centered around a central processing unit (CPU), the DPU that is designed for a data-centric computing model in which the data processing tasks are centered around the DPU. The DPU may be viewed as a highly programmable, high-performance I/O and data-processing hub designed to aggregate and process network and storage I/O to and from other devices. The DPU comprises a network interface to connect to a network, one or more host interfaces to connect to one or more application processors or storage devices, and a multi-core processor with two or more processing cores executing a run-to-completion data plane operating system and one or more processing cores executing a multi-tasking control plane operating system. The data plane operating system is configured to support software functions for performing the data processing tasks.

Methods and apparatus for secure access generally comprise a secure interface operating in conjunction with a remote computer and a target machine. The secure interface may provide access to the target machine by the remote computer. The secure interface may comprise a signal transfer system configured to be coupled to the target machine. The signal transfer system may transfer native human I/O signals, but does not transfer files and does not transfer networking signals. The signal transfer system may provide the only couplings to the target machine. The secure interface may also include a network interface coupled to the signal transfer system.

An optical switch plane with one or more switch layers, each layer with multiple switches is provided. In a data center, an optical circuit switch plane is added between the device plane and packet switch plane. Direct speed of light connections may be created between devices, the data center temporally shrunk, remote devices localized, elephant flows kept out of mouse switches, mouse switch spend reduced, stranded resources recovered, layer 1 reconfigured and optimized, bare metal bent, secure tunnels created, networks physically isolated, failure resiliency increased, and packet switch congestion avoided.

Examples herein describe techniques for communicating between data processing engines in an array of data processing engines. In one embodiment, the array is a 2D array where each of the DPEs includes one or more cores. In addition to the cores, the data processing engines can include streaming interconnects which transmit streaming data using two different modes: circuit switching and packet switching. Circuit switching establishes reserved point-to-point communication paths between endpoints in the interconnect which routes data in a deterministic manner. Packet switching, in contrast, transmits streaming data that includes headers for routing data within the interconnect in a non-deterministic manner. In one embodiment, the streaming interconnects can have one or more ports configured to perform circuit switching and one or more ports configured to perform packet switching.

A hierarchical array computer architecture comprised of a master computer connected to a plurality of node computers wherein each node has a memory segment. A high speed connection scheme between the master computer and the nodes allows the master computer or individual nodes conditional access to the node memory segments. The resulting architecture creates an array computer with a large distributed memory in which each memory segment of the distributed memory has an associated computing element; the entire array being housed in a blade server type enclosure. The array computer created with this architecture provides a linear increase of processing speed corresponding to the number of nodes.