Abstract: Systems, apparatuses and methods may provide for technology that programs a plurality of seed values into a plurality of linear feedback shift registers (LFSRs), wherein the plurality of LFSRs correspond to a data word (DWORD) and at least two of the plurality of seed values differ from one another. The technology may also train a link coupled to the plurality of LFSRs, wherein the plurality of seed values cause a parity bit associated with the DWORD to toggle while the link is being trained. In one example, the technology also automatically selects the plurality of seed values based on one or more of an expected traffic pattern on the link (e.g., after training) or a deskew constraint associated with the link.

Abstract: In a memory subsystem, a physical interface (PHY) has an unmatched architecture. To compensate for the unmatched architecture, the PHY has variable delay compensation to adjust for propagation mismatch of analog signals in the data (DQ) path and data strobe (DQS) path of the PHY. The variable delay compensation can be provided by adjusting the operation of a digital component of the PHY to introduce the delay compensation.

Abstract: A multi-chip device having a configurable physical interface in a logic die to on-package memory is provided. The configurable physical interface to allow a connection from a signal on the memory interface to be selected based on whether the logic die is mirrored or non-mirrored.

Abstract: Systems, apparatuses and methods may provide for technology that programs a plurality of seed values into a plurality of linear feedback shift registers (LFSRs), wherein the plurality of LFSRs correspond to a data word (DWORD) and at least two of the plurality of seed values differ from one another. The technology may also train a link coupled to the plurality of LFSRs, wherein the plurality of seed values cause a parity bit associated with the DWORD to toggle while the link is being trained. In one example, the technology also automatically selects the plurality of seed values based on one or more of an expected traffic pattern on the link (e.g., after training) or a deskew constraint associated with the link.