DYNAMICALY ADJUSTED CACHE POLICY AND COMPRESSION SCHEME FOR GRAPHS PROCESSED BY GRAPH NEURAL NETWORKS

    公开(公告)号:US20220261357A1

    公开(公告)日:2022-08-18

    申请号:US17734994

    申请日:2022-05-02

    Abstract: Systems, apparatuses, and methods include technology that determines, with a neural network, that a first eviction node stored in a cache will be evicted from the cache based on a cache policy. The first eviction node is part of a plurality of nodes associated with a graph. Further, a subset of nodes of the plurality of nodes remains in the cache after the eviction of the first eviction node from the cache. The technology further tracks a number of cache hits on the cache during an aggregation operation associated with a hardware accelerator, where the aggregation operation is executed on the subset of nodes that remain in the cache after the eviction of the eviction node from the cache. The technology executes a training process on the neural network to adjust the cache policy based on the number of the cache hits.

    Compiler guided power allocation in computing devices

    公开(公告)号:US11079825B2

    公开(公告)日:2021-08-03

    申请号:US16539138

    申请日:2019-08-13

    Abstract: Apparatus, devices, systems, methods, and articles of manufacture are disclosed to allocate power in a computing device. An example system includes a compiler to: analyze power consumption behavior of power consumption units of the computing device; build a power profile; and generate source code with hints of the power profile. The example system includes a power control circuit to: develop a power policy using the hints of the power profile and requests for power licenses from the power consumption units of the computing device; and allocate power to the power consumption units based on the power profile.

    PHYSICAL THERAPY ASSISTANT AS A SERVICE

    公开(公告)号:US20250149145A1

    公开(公告)日:2025-05-08

    申请号:US19001736

    申请日:2024-12-26

    Abstract: Physical therapy assistant-as-a-service (PTaaS) enables the automatic evaluation of a patient's performance of physical therapy exercises and the automatic provision of feedback to the patient on their exercise performance in real-time. A patient device can provide real-time patient exercise video to a PTaaS backend that performs checks prior to the patient performing the exercise (pre-checks) and checks during patient performance of the exercise (live checks). If any of the checks fail, the PTaaS can provide feedback to the patient, such as if the patient is in an incorrect starting pose or has a body part at an incorrect angle before beginning the exercise or if the patient's form or posture during performance of the exercise needs to be adjusted. The PTaaS can automatically generate exercise metrics, reports, and physical therapy insights that a physical therapy clinician can access from a clinician portal.

    AUTONOMOUS C-STATE ALGORITHM AND COMPUTATIONAL ENGINE ALIGNMENT FOR IMPROVED PROCESSOR POWER EFFICIENCY

    公开(公告)号:US20190011976A1

    公开(公告)日:2019-01-10

    申请号:US16130916

    申请日:2018-09-13

    Abstract: Methods and apparatus relating to autonomous C state mechanism and computational engine alignment for improved processor power efficiency. are described. An embodiment determines whether a semiconductor package should enter a package C state based on energy consumption values for entry into and exit from the package C state, an amount of time the semiconductor package stayed in the package C state previously, and one or more breakeven time points between the various package C states. Another embodiment detects a delay by an imaging computational unit of a processor to enter a low power consumption state relative to one or more other computational units of the processor. The logic causes the imaging computational unit to enter the low power consumption state in response to detection of the delay. Other embodiments are also disclosed and claimed.

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