IEEE

Application of Machine Learning Approaches for Power Estimation of Digital VLSI Circuits at Register Transfer Level

Abstract: In VLSI, estimation of power, performance, and area at appropriate steps during the design process is necessary to meet required specifications. In digital VLSI circuit design, early-stage ...
IEEE

Quantum Circuit Tensors and Enumerators With Applications to Quantum Fault Tolerance

Abstract: We extend the recently introduced notion of tensor enumerator to the circuit enumerator. We provide a mathematical framework that offers a novel method for ...
GitHub

Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction

This is a initail version of CirGPS for doulbe-blind review. The full datasets will be released as a individual work soon. Graph representation learning is a powerful method to extract features from ...
GitHub

A Scalable Inference Engine for Diffusion Transformers (DiTs) on multi-GPU Clusters

Diffusion Transformers (DiTs) are driving advancements in high-quality image and video generation. With the escalating input context length in DiTs, the computational demand of the Attention mechanism ...