HEAPSORT IN A PARALLEL PROCESSING FRAMEWORK
    1.
    发明公开

    公开(公告)号:US20230334059A1

    公开(公告)日:2023-10-19

    申请号:US17723949

    申请日:2022-04-19

    Applicant: SAP SE

    CPC classification number: G06F16/248 G06F16/23

    Abstract: A method for performing a parallelized heapsort operation may include updating, by a first worker thread, a first buffer while a second worker thread updates a second buffer in parallel. The first worker thread may update the first buffer by adding, to the first buffer, elements from a first partition of a dataset. The second worker thread may update the second buffer by adding, to the second buffer, elements from a second partition of the dataset. Upon the first buffer reaching a threshold size, the first worker thread may acquire a lock for the first worker thread to update a heap based on the first buffer while the second worker thread is prevented from updating the heap based on the second buffer. A result of a top k query comprising a k quantity of smallest elements from the dataset may be generated based on the heap.

    HEAPSORT IN A PARALLEL PROCESSING FRAMEWORK
    2.
    发明公开

    公开(公告)号:US20230394055A1

    公开(公告)日:2023-12-07

    申请号:US18453605

    申请日:2023-08-22

    Applicant: SAP SE

    CPC classification number: G06F16/248 G06F16/23

    Abstract: A method for performing a parallelized heapsort operation may include updating, by a first worker thread, a first buffer while a second worker thread updates a second buffer in parallel. The first worker thread may update the first buffer by adding, to the first buffer, elements from a first partition of a dataset. The second worker thread may update the second buffer by adding, to the second buffer, elements from a second partition of the dataset. Upon the first buffer reaching a threshold size, the first worker thread may acquire a lock for the first worker thread to update a heap based on the first buffer while the second worker thread is prevented from updating the heap based on the second buffer. A result of a top k query comprising a k quantity of smallest elements from the dataset may be generated based on the heap.

    Heapsort in a parallel processing framework

    公开(公告)号:US12197453B2

    公开(公告)日:2025-01-14

    申请号:US18453605

    申请日:2023-08-22

    Applicant: SAP SE

    Abstract: A method for performing a parallelized heapsort operation may include updating, by a first worker thread, a first buffer while a second worker thread updates a second buffer in parallel. The first worker thread may update the first buffer by adding, to the first buffer, elements from a first partition of a dataset. The second worker thread may update the second buffer by adding, to the second buffer, elements from a second partition of the dataset. Upon the first buffer reaching a threshold size, the first worker thread may acquire a lock for the first worker thread to update a heap based on the first buffer while the second worker thread is prevented from updating the heap based on the second buffer. A result of a top k query comprising a k quantity of smallest elements from the dataset may be generated based on the heap.

    Heapsort in a parallel processing framework

    公开(公告)号:US11775543B1

    公开(公告)日:2023-10-03

    申请号:US17723949

    申请日:2022-04-19

    Applicant: SAP SE

    CPC classification number: G06F16/248 G06F16/23

    Abstract: A method for performing a parallelized heapsort operation may include updating, by a first worker thread, a first buffer while a second worker thread updates a second buffer in parallel. The first worker thread may update the first buffer by adding, to the first buffer, elements from a first partition of a dataset. The second worker thread may update the second buffer by adding, to the second buffer, elements from a second partition of the dataset. Upon the first buffer reaching a threshold size, the first worker thread may acquire a lock for the first worker thread to update a heap based on the first buffer while the second worker thread is prevented from updating the heap based on the second buffer. A result of a top k query comprising a k quantity of smallest elements from the dataset may be generated based on the heap.

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