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1.
公开(公告)号:US11194373B2
公开(公告)日:2021-12-07
申请号:US16853570
申请日:2020-04-20
Applicant: Intel Corporation
Inventor: Asma Al-Rawi , Federico Ardanaz , Jonathan M. Eastep , Nikhil Gupta , Ankush Varma , Krishnakanth V. Sistla , Ian M. Steiner
IPC: G06F1/26 , G06F1/32 , G06F1/3206 , G06F1/324 , H04L12/12 , G06F1/3228 , G06F1/20
Abstract: Various embodiments comprise prioritizing frequency allocations in thermally- or power-constrained computing devices. Computer elements may be assigned ‘weights’ based on their priorities. The computer elements with higher weights may receive higher frequency allocations to assure they receive priority in processing more quickly. The computer elements with lower weights may receive lower frequency allocations and suffer a slowdown in their processing. Elements with the same weight may be grouped together for the purpose of frequency allocation.
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公开(公告)号:US11809250B2
公开(公告)日:2023-11-07
申请号:US17074288
申请日:2020-10-19
Applicant: Intel Corporation
Inventor: Ali Mohammad , Asma Al-Rawi , Ujjwal Gupta , Federico Ardanaz , Jonathan Eastep
IPC: G06F1/28 , G06F1/3296 , G06N20/00 , G06F1/3206 , G06F1/324
CPC classification number: G06F1/28 , G06F1/3296 , G06N20/00
Abstract: A scheme to improve performance of power-constrained computers, comprising a heterogeneous mix of compute elements, by dynamically reacting to changes in the switching capacitance that present workload induces in each heterogeneous compute element and learning the coefficients of a power-frequency model for each compute element for the present workload. At each time step, the scheme forecasts a maximum frequency that the compute element can run at without exceeding an input power limit for a given workload. The scheme rapidly re-learns coefficients of the power model and rapidly adapts the frequency as the workload's characteristics shift ensuring that compute elements run at the maximum frequency they can while not exceeding the input power limit.
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公开(公告)号:US20210124404A1
公开(公告)日:2021-04-29
申请号:US17074288
申请日:2020-10-19
Applicant: Intel Corporation
Inventor: Ali Mohammad , Asma Al-Rawi , Ujjwal Gupta , Federico Ardanaz , Jonathan Eastep
IPC: G06F1/28 , G06F1/3296 , G06N20/00
Abstract: A scheme to improve performance of power-constrained computers, comprising a heterogeneous mix of compute elements, by dynamically reacting to changes in the switching capacitance that present workload induces in each heterogeneous compute element and learning the coefficients of a power-frequency model for each compute element for the present workload. At each time step, the scheme forecasts a maximum frequency that the compute element can run at without exceeding an input power limit for a given workload. The scheme rapidly re-learns coefficients of the power model and rapidly adapts the frequency as the workload's characteristics shift ensuring that compute elements run at the maximum frequency they can while not exceeding the input power limit.
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4.
公开(公告)号:US20200319693A1
公开(公告)日:2020-10-08
申请号:US16853570
申请日:2020-04-20
Applicant: Intel Corporation
Inventor: Asma Al-Rawi , Federico Ardanaz , Jonathan M. Eastep , Nikhil Gupta , Ankush Varma , Krishnakanth V. Sistla , Ian M. Steiner
IPC: G06F1/3206 , G06F1/324 , H04L12/12 , G06F1/3228 , G06F1/20
Abstract: Various embodiments comprise prioritizing frequency allocations in thermally- or power-constrained computing devices. Computer elements may be assigned ‘weights’ based on their priorities. The computer elements with higher weights may receive higher frequency allocations to assure they receive priority in processing more quickly. The computer elements with lower weights may receive lower frequency allocations and suffer a slowdown in their processing. Elements with the same weight may be grouped together for the purpose of frequency allocation.
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5.
公开(公告)号:US20190041949A1
公开(公告)日:2019-02-07
申请号:US15866425
申请日:2018-01-09
Applicant: Intel Corporation
Inventor: Asma Al-Rawi , Federico Ardanaz , Jonathan M. Eastep , Nikhil Gupta , Ankush Varma , Krishnakanth V. Sistla , Ian M. Steiner
Abstract: Various embodiments comprise prioritizing frequency allocations in thermally- or power-constrained computing devices. Computer elements may be assigned ‘weights’ based on their priorities. The computer elements with higher weights may receive higher frequency allocations to assure they receive priority in processing more quickly. The computer elements with lower weights may receive lower frequency allocations and suffer a slowdown in their processing. Elements with the same weight may be grouped together for the purpose of frequency allocation.
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