Patent classifications
G06F15/17337
Multicore data processing system with local and global input/output devices and graphical interface comprising such a data processing system
A multicore data processing system includes a set of data processing cores. At least a part of each data processing core includes a set of local data input and output interfaces for access to peripheral devices dedicated to said cores. It further includes a set of global data input and output interfaces for access to peripheral devices shared between said cores.
VIRTUALIZED COMPUTER SYSTEM FOR VERIFICATION, TESTING, ASSESMENT AND, MITIGATION
An apparatus and method is provided for simulating a physical computer system using virtualization. The disclosed system virtualizes devices of a physical computer system by modeling hardware and software components that are physically present within the physical computer system. The system simulates changing at least one of a piece of hardware or software in the virtualized computer system and assesses an effect of the change in the virtualized computer system to determine a potential effect of the change if the change were implemented on the physical computer system.
Data processing unit for stream processing
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.
System and Method of Asymmetric System Description for Optimized Scheduling
An information handling system includes processors disposed in sockets, and interconnect links providing point-to-point links between the sockets. One of the processors determines an arrangement of the processors, memories and the interconnect links, and determines a value for each of the processors, each of the memories, and each of the interconnect links. The processor calculates interconnect link bandwidth values for each of the interconnect links based at least in part on the determined value and the arrangement of the processors, the memories and the interconnect links. The processor also populates an interconnect bandwidth table using the interconnect link bandwidth values.
Permutated ring network interconnected computing architecture
A computer architecture that connects a plurality of compute engines and memory banks using one or more permutated ring networks to provide a scalable, high-bandwidth, low-latency point-to-point multi-chip communications solution.
SYSTEMS AND METHODS FOR IMPLEMENTING AN INTELLIGENCE PROCESSING COMPUTING ARCHITECTURE
A system and method for automated data propagation and automated data processing within an integrated circuit includes an intelligence processing integrated circuit comprising at least one intelligence processing pipeline, wherein the at least one intelligence processing pipeline includes: a main data buffer that stores input data; a plurality of distinct intelligence processing tiles, wherein each distinct intelligence processing tile includes a computing circuit and a local data buffer; a token-based governance module, the token-based governance module implementing: a first token-based control data structure; a second token-based control data structure, wherein the first token-based control data structure and the second-token based control data operate in cooperation to control an automated flow of the input data and/or an automated processing of the input data through the at least one intelligence processing pipeline.
Application acceleration method and application acceleration device
Provided are an application acceleration method and an application acceleration device. The application acceleration method includes invoking, by a control center, a process monitoring class to monitor start and end of a process. Process information on a process sent by the process monitoring class is received after the process monitoring class monitors that the process is started and confirms that the process requires to be accelerated. A service class is invoked based on the process information, where the service class monitors multiple states of the process, and executes a task in each of the multiple states of the process until the process is in an end state.
Network overlay systems and methods using offload processors
A network overlay system can include a data transport module having a network interface and a translation module configured to generate offload processing addresses for the network packet data; a system bus; at least one host processor connected to the system bus; and at least one offload processor module coupled to the system bus and configured to receive network packet data associated. Offload processor modules include processing circuits associated with at least one of the offload processing addresses that are configured to encapsulate the network packet data for transport on a logical network or decapsulate the network packet data received from the logical network. The offload processing circuits encapsulate or decapsulate network packet data independent of any host processor.
Technologies for automatic processor core association management and communication using direct data placement in private caches
Technologies for communication with direct data placement include a number of computing nodes in communication over a network. Each computing node includes a many-core processor having an integrated host fabric interface (HFI) that maintains an association table (AT). In response to receiving a message from a remote device, the HFI determines whether the AT includes an entry associating one or more parameters of the message to a destination processor core. If so, the HFI causes a data transfer agent (DTA) of the destination core to receive the message data. The DTA may place the message data in a private cache of the destination core. Message parameters may include a destination process identifier or other network address and a virtual memory address range. The HFI may automatically update the AT based on communication operations generated by software executed by the processor cores. Other embodiments are described and claimed.
Flow control in a parallel processing environment
The flow of data in an integrated circuit is controlled. The integrated circuit comprising a plurality of tiles, each tile comprising a processor, a switch including switching circuitry to forward data over data paths from other tiles to the processor and to switches of other tiles, and a receive buffer to store data from the switch. At a first tile, a count is maintained of data that has been sent to a second tile without receiving an acknowledgement up to a credit limit. At the second tile, data that arrives from the first tile when the receive buffer is full is sent to a memory outside of the tile.