Invention Grant
US08812892B1 Hardware WCK2CK training engine using meta-EDC sweeping and adjustably accurate voting algorithm for clock phase detection
有权
硬件WCK2CK培训引擎采用meta-EDC扫描和可调精确的投票算法进行时钟相位检测
- Patent Title: Hardware WCK2CK training engine using meta-EDC sweeping and adjustably accurate voting algorithm for clock phase detection
- Patent Title (中): 硬件WCK2CK培训引擎采用meta-EDC扫描和可调精确的投票算法进行时钟相位检测
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Application No.: US12650242Application Date: 2009-12-30
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Publication No.: US08812892B1Publication Date: 2014-08-19
- Inventor: Eric Lyell Hill , Russell R. Newcomb , Shu-Yi Yu
- Applicant: Eric Lyell Hill , Russell R. Newcomb , Shu-Yi Yu
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA Corporation
- Current Assignee: NVIDIA Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Patterson & Sheridan, LLP
- Main IPC: G06F1/12
- IPC: G06F1/12 ; G06F1/10

Abstract:
One embodiment of the present invention sets forth a technique for performing high-performance clock training. One clock training sweep operation is performed to determine phase relationships for two write clocks with respect to a command clock. The phase relationships are generated to satisfy timing requirements for two different client devices, such as GDDR5 DRAM components. A second clock training sweep operation is performed to better align local clocks operating on the client devices. A voting tally is maintained during the second clock training sweep to record phase agreement at each step in the clock training sweep. The voting tally then determines whether one of the local clocks should be inverted to better align the two local clocks.
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