5 papers
Encoder-Decoder Networks for Analyzing Thermal and Power Delivery Networks
Vidya A. Chhabria, Vipul Ahuja, Ashwath Prabhu +3
Power delivery network (PDN) analysis and thermal analysis are computationally expensive tasks that are essential for successful IC design. Algorithmically, both these analyses hav…
OpeNPDN: A Neural-network-based Framework for Power Delivery Network Synthesis
Vidya A. Chhabria, Sachin S. Sapatnekar
Power delivery network (PDN) design is a nontrivial, time-intensive, and iterative task. Correct PDN design must account for considerations related to power bumps, currents, blocka…
A New, Computationally Efficient "Blech Criterion" for Immortality in General Interconnects
Mohammad Abdullah Al Shohel, Vidya A. Chhabria, Sachin S. Sapatnekar
Traditional methodologies for analyzing electromigration (EM) in VLSI circuits first filter immortal wires using Blech's criterion, and then perform detailed EM analysis on the rem…
MAVIREC: ML-Aided Vectored IR-DropEstimation and Classification
Vidya A. Chhabria, Yanqing Zhang, Haoxing Ren +3
Vectored IR drop analysis is a critical step in chip signoff that checks the power integrity of an on-chip power delivery network. Due to the prohibitive runtimes of dynamic IR dro…
Thermal and IR Drop Analysis Using Convolutional Encoder-Decoder Networks
Vidya A. Chhabria, Vipul Ahuja, Ashwath Prabhu +3
Computationally expensive temperature and power grid analyses are required during the design cycle to guide IC design. This paper employs encoder-decoder based generative (EDGe) ne…