ADAPTIVE MULTI-STAGE SLACK BORROWING FOR HIGH PERFORMANCE ERROR RESILIENT COMPUTING
    1.
    发明申请
    ADAPTIVE MULTI-STAGE SLACK BORROWING FOR HIGH PERFORMANCE ERROR RESILIENT COMPUTING 有权
    适用于高性能误差计算的自适应多级滑块

    公开(公告)号:US20140035644A1

    公开(公告)日:2014-02-06

    申请号:US14045642

    申请日:2013-10-03

    CPC classification number: H03K3/02 H03K3/0375

    Abstract: Adaptive scaling digital techniques attempt to place the system close to the timing failure so as to maximize energy efficiency. Rapid recovery from potential failures is usually by slowing the system clock and/or providing razor solutions (instruction replay.) These techniques compromise the throughput. This application presents a technique to provide local in-situ fault resilience based on dynamic slack borrowing. This technique is non-intrusive (needs no architecture modification) and has minimal impact on throughput.

    Abstract translation: 自适应缩放数字技术试图使系统接近定时故障,以最大限度地提高能量效率。 潜在故障的快速恢复通常是通过减慢系统时钟和/或提供剃须刀解决方案(指令重放)。这些技术会损害吞吐量。 该应用提出了一种基于动态松弛借贷提供本地原位故障恢复能力的技术。 这种技术是非侵入式的(不需要架构修改),对吞吐量影响最小。

    QUANTIZATION OF WEIGHTS IN A NEURAL NETWORK

    公开(公告)号:US20240411519A1

    公开(公告)日:2024-12-12

    申请号:US18736783

    申请日:2024-06-07

    Abstract: The present description concerns a circuit configured to perform a multiply and accumulate operation in a layer of an artificial neural network, the operation taking, as an input, an input data value and a weight, and wherein the weight only has a value within a limited set only formed of value 0, of a plurality of values equal to 2n, where n is an integer, and of a plurality of values, each equal to the product of 2n by an odd number greater than or equal to 3.

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