APPARATUS, METHOD, AND SYSTEM FOR ENHANCED DATA PREFETCHING BASED ON NON-UNIFORM MEMORY ACCESS (NUMA) CHARACTERISTICS

    公开(公告)号:US20200004684A1

    公开(公告)日:2020-01-02

    申请号:US16024527

    申请日:2018-06-29

    Abstract: Apparatus, method, and system for enhancing data prefetching based on non-uniform memory access (NUMA) characteristics are described herein. An apparatus embodiment includes a system memory, a cache, and a prefetcher. The system memory includes multiple memory regions, at least some of which are associated with different NUMA characteristic (access latency, bandwidth, etc.) than others. Each region is associated with its own set of prefetch parameters that are set in accordance to their respective NUMA characteristics. The prefetcher monitors data accesses to the cache and generates one or more prefetch requests to fetch data from the system memory to the cache based on the monitored data accesses and the set of prefetch parameters associated with the memory region from which data is to be fetched. The set of prefetcher parameters may include prefetch distance, training-to-stable threshold, and throttle threshold.

    VISUALIZING MEMORY BANDWIDTH UTILIZATION USING MEMORY BANDWIDTH STACK

    公开(公告)号:US20220283719A1

    公开(公告)日:2022-09-08

    申请号:US17824413

    申请日:2022-05-25

    Abstract: An apparatus to facilitate generating a memory bandwidth stack for visualizing memory bandwidth utilization is disclosed. The apparatus includes processors to receive data corresponding to a memory cycle occurring during a total execution time of an application executed by the one or more processors; for the memory cycle, assign the memory cycle to a component of a bandwidth stack based on analysis of the data and in accordance with a prioritization scheme; for the component, determine a portion of the bandwidth stack to account to the component based at least in part on the assignment of the memory cycle to the component; and generate the bandwidth stack by at least representing the portion accounted to the component in the bandwidth stack.

    STORING CACHE LINES IN DEDICATED CACHE OF AN IDLE CORE

    公开(公告)号:US20190303294A1

    公开(公告)日:2019-10-03

    申请号:US15940712

    申请日:2018-03-29

    Abstract: Embodiment of this disclosure provides a mechanism to store cache lines in dedicated cache of an idle core. In one embodiment, a multi-core processor comprising a first core, a second core, a first cache, a second cache, a third cache, and a cache controller unit is provided. The cache controller is operatively coupled to at least the first cache, the second cache, and the third cache. The cache controller is to evict a first line from the first cache, wherein the first core is in an active state. Responsive to the evicting of the first line, the first line is stored in the third cache. Responsive to storing the first line, a second line is evicted from the third cache. Responsive to evicting the second line, the second line is stored in the second cache when the second core is in an idle state.

    Independent tuning of multiple hardware prefetchers

    公开(公告)号:US10303609B2

    公开(公告)日:2019-05-28

    申请号:US15718845

    申请日:2017-09-28

    Abstract: Embodiments of apparatuses, methods, and systems for independent tuning of multiple hardware prefetchers are described. In an embodiment, an apparatus includes a processor core, a cache memory, a hardware prefetcher, and a prefetch tuner. The hardware prefetcher is to prefetch data for the processor core from a system memory to the cache memory. The prefetch tuner is to adjust a prefetch rate of the hardware prefetcher based on a fraction of late prefetches. The prefetch tuner includes a late prefetch counter to count a number of late prefetches for the hardware prefetcher, a prefetch counter to count a number of prefetches for the hardware prefetcher, and a late prefetch calculator to calculate the fraction of late prefetches based on the number of late prefetches and the number of prefetches.

    TECHNOLOGIES FOR PROCESSOR SIMULATION MODELING WITH MACHINE LEARNING

    公开(公告)号:US20190004920A1

    公开(公告)日:2019-01-03

    申请号:US15638727

    申请日:2017-06-30

    Abstract: Technologies for processor architecture simulation with machine learning include a computing device that simulates performance of a processor executing training programs with a simulation model. The computing device captures ground truth performance statistics of the processor executing the training programs, for example using a cycle-accurate simulator. The computing device collects training simulation statistics from the simulation model and trains an error model with the training simulation statistics as feature vector and with the ground truth performance statistics. The computing device may simulate performance of the processor executing a test program, capture test simulation statistic from the simulation model, and predict a predicted error of the simulation model using the error model with the test simulation statistics as feature vector. The computing device may adjust output of the simulation model or adapt execution of the simulation model based on the predicted error. Other embodiments are described and claimed.

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