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Reinforcement learning based self-adaptive voltage-swing adjustment of 2.5D I/Os for many-core microprocessor and memory communication.

, , , , and . ICCAD, page 224-229. IEEE, (2014)

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Symbolic Moment Computation for Statistical Analysis of Large Interconnect Networks., , , and . IEEE Trans. VLSI Syst., 21 (5): 944-957 (2013)A novel power noise simulation methodology for chip design using Wafer Level Chip Scale Packaging., , , and . VLSI-DAT, page 1-4. IEEE, (2014)An efficient statistical chip-level total power estimation method considering process variations with spatial correlation., , and . ISQED, page 671-676. IEEE, (2011)New approaches to interconnect macromodeling with explicit delay extraction., and . APCCAS, page 1546-1549. IEEE, (2008)Battery state of charge estimation using adaptive subspace identification method., , , , , and . ASICON, page 91-94. IEEE, (2011)Reinforcement learning based self-adaptive voltage-swing adjustment of 2.5D I/Os for many-core microprocessor and memory communication., , , , and . ICCAD, page 224-229. IEEE, (2014)Time-domain performance bound analysis of analog circuits considering process variations., , , and . ASP-DAC, page 535-540. IEEE, (2012)A fast symbolic computation approach to statistical analysis of mesh networks with multiple sources., and . ASP-DAC, page 383-388. IEEE, (2010)Statistical full-chip total power estimation considering spatially correlated process variations., , and . Integration, 46 (1): 80-88 (2013)Statistical full-chip dynamic power estimation considering spatial correlations., , , , , and . ISQED, page 677-682. IEEE, (2011)