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Incremental Layer Assignment Driven by an External Signoff Timing Engine.

V. Livramento, D. Liu, S. Chowdhury, B. Yu, X. Xu, D. Pan, J. Güntzel, and L. dos Santos. IEEE Trans. on CAD of Integrated Circuits and Systems, 36 (7): 1126-1139 (2017)

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Exploiting Non-Critical Steiner Tree Branches for Post-Placement Timing Optimization.V. Livramento, C. Guth, R. Netto, J. Güntzel, and L. dos Santos. ICCAD, page 528-535. IEEE, (2015)A Hybrid Technique for Discrete Gate Sizing Based on Lagrangian Relaxation.V. Livramento, C. Guth, J. Güntzel, and M. de Oliveira Johann. ACM Trans. Design Autom. Electr. Syst., 19 (4): 40:1-40:25 (2014)Synergistic Topology Generation and Route Synthesis for On-Chip Performance-Critical Signal Groups.D. Liu, B. Yu, V. Livramento, S. Chowdhury, D. Ding, H. Vo, A. Sharma, and D. Pan. IEEE Trans. on CAD of Integrated Circuits and Systems, 38 (6): 1147-1160 (2019)Incremental Layer Assignment Driven by an External Signoff Timing Engine.V. Livramento, D. Liu, S. Chowdhury, B. Yu, X. Xu, D. Pan, J. Güntzel, and L. dos Santos. IEEE Trans. on CAD of Integrated Circuits and Systems, 36 (7): 1126-1139 (2017)Fast and efficient lagrangian relaxation-based discrete gate sizing.V. Livramento, C. Guth, J. Güntzel, and M. Johann. DATE, page 1855-1860. EDA Consortium San Jose, CA, USA / ACM DL, (2013)An energy-efficient FDCT/IDCT configurable IP core for mobile multimedia platforms.V. Livramento, B. de Moraes, B. Machado, and J. Güntzel. SBCCI, page 149-154. ACM, (2011)Enhancing Multi-Threaded Legalization Through k-d Tree Circuit Partitioning.S. Fabre, J. Güntzel, L. Pilla, R. Netto, T. Fontana, and V. Livramento. SBCCI, page 1-6. IEEE, (2018)How Deep Learning Can Drive Physical Synthesis Towards More Predictable Legalization.R. Netto, S. Fabre, T. Fontana, V. Livramento, L. Pilla, and J. Güntzel. ISPD, page 3-10. ACM, (2019)Clock-Tree-Aware Incremental Timing-Driven Placement.V. Livramento, R. Netto, C. Guth, J. Güntzel, and L. dos Santos. ACM Trans. Design Autom. Electr. Syst., 21 (3): 38:1-38:27 (2016)Timing-Driven Placement Based on Dynamic Net-Weighting for Efficient Slack Histogram Compression.C. Guth, V. Livramento, R. Netto, R. Fonseca, J. Güntzel, and L. dos Santos. ISPD, page 141-148. ACM, (2015)