Programmable network measurement engine

    公开(公告)号:US11290361B1

    公开(公告)日:2022-03-29

    申请号:US16716256

    申请日:2019-12-16

    Applicant: Xilinx, Inc.

    Abstract: A device includes a programmable passive measurement hardware engine, a programmable active measurement hardware engine, and a configuration engine. The programmable passive measurement hardware engine is configured to collect statistical data, from data transmission at a network line rate, used for network measurement. The programmable active measurement hardware engine is configured to generate probe packets and wherein the programmable active measurement hardware engine is further configured to collect responses to the generated probe packets, wherein the collected responses are used for the network measurement. The configuration engine is configured to receive data settings and wherein the configuration engine is further configured to program the programmable passive measurement hardware engine and the programmable active measurement hardware engine with the received data settings.

    Blockchain machine network acceleration engine

    公开(公告)号:US11657040B2

    公开(公告)日:2023-05-23

    申请号:US17084942

    申请日:2020-10-30

    Applicant: XILINX, INC.

    CPC classification number: G06F16/2379 G06F12/0875 G06F2212/45

    Abstract: Embodiments herein describe a hardware accelerator (e.g., a network acceleration engine) for a blockchain machine or node. The hardware accelerator parses packets containing separate components of a block of transactions to generate data to perform a validation process. To avoid the latency that comes with using software, the embodiments herein describe a protocol processor in the hardware accelerator that parses the packets and prepares the data so it can be consumed by downstream components in the accelerator without software intervention. These downstream components can then perform a validation operation to validate one or more transactions before those transactions are committed (i.e., added) to a ledger of a permissioned blockchain.

    Mining proxy acceleration
    3.
    发明授权

    公开(公告)号:US11431815B1

    公开(公告)日:2022-08-30

    申请号:US16869321

    申请日:2020-05-07

    Applicant: Xilinx, Inc.

    Abstract: Mining proxy acceleration may include receiving, within a mining proxy, packetized data from a mining pool server and determining, using the mining proxy, whether the packetized data qualifies for broadcast processing. In response to determining that the packetized data qualifies for broadcast processing, the packetized data can be modified using the mining proxy to generate broadcast data. The broadcast data can be broadcast, using the mining proxy, to a plurality of miners subscribed to the mining proxy.

    FRAMEWORK FOR SYSTEM SIMULATION USING MULTIPLE SIMULATORS

    公开(公告)号:US20230367923A1

    公开(公告)日:2023-11-16

    申请号:US17662818

    申请日:2022-05-10

    Applicant: Xilinx, Inc.

    CPC classification number: G06F30/20 H04L9/50 G06F2111/02

    Abstract: A simulation framework is capable modeling a hardware implementation of a reference software system using models specified in different computer-readable languages. The models correspond to different ones of a plurality of subsystems of the hardware implementation. Input data is provided to a first simulator configured to simulate a first model of a first subsystem of the modeled hardware implementation. The input data is captured from execution of the reference software system. The first simulator executing the first model generates a first data file specifying output of the first subsystem. The first data file specifies intermediate data of the modeled hardware implementation. The first data file is provided to a second simulator configured to simulate a second model of a second subsystem of the modeled hardware implementation. The second simulator executing the second model generates a second data file specifying output of the second subsystem.

    Programmable congestion control engine

    公开(公告)号:US11641323B1

    公开(公告)日:2023-05-02

    申请号:US17037359

    申请日:2020-09-29

    Applicant: XILINX, INC.

    Abstract: Examples herein describe an acceleration framework that includes a hybrid congestion control (CC) engine where some components are implemented in software (e.g., a CC algorithm) while other components are implemented in hardware (e.g., measurement and enforcement modules and a flexible processing unit). The hardware components can be designed to provide measurements that can be used by multiple different types of CC algorithms. Depending on which CC algorithms are currently enabled, the hardware components can be programmed to perform measurement, processing, and enforcement tasks, thereby freeing the CPUs in the host to perform other tasks. In this manner, the hybrid CC engine can have the flexibility of a pure software CC algorithm with the advantage of performing many of the operations associated with the CC algorithm in hardware.

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