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20242026
most citedA Survey: Collaborative Hardware and Software Design in the Era of Large Language Models

3 citations · 3 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.LG2024

Improving Routability Prediction via NAS Using a Smooth One-shot Augmented Predictor

Arjun Sridhar, Chen-Chia Chang, Junyao Zhang +1

Routability optimization in modern EDA tools has benefited greatly from using machine learning (ML) models. Constructing and optimizing the performance of ML models continues to be…

quant-ph2024

qGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers

Junyao Zhang, Guanglei Zhou, Feng Cheng +6

Noisy Intermediate-Scale Quantum (NISQ) computers are currently limited by their qubit numbers, which hampers progress towards fault-tolerant quantum computing. A major challenge i…

cs.AR2024★ 3 cited

A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models

Cong Guo, Feng Cheng, Zhixu Du +21

The rapid development of large language models (LLMs) has significantly transformed the field of artificial intelligence, demonstrating remarkable capabilities in natural language…

cs.AR2024

ModSRAM: Algorithm-Hardware Co-Design for Large Number Modular Multiplication in SRAM

Jonathan Ku, Junyao Zhang, Haoxuan Shan +6

Elliptic curve cryptography (ECC) is widely used in security applications such as public key cryptography (PKC) and zero-knowledge proofs (ZKP). ECC is composed of modular arithmet…

quant-ph2024

Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers

Junyao Zhang, Hanrui Wang, Qi Ding +7

Noisy Intermediate-Scale Quantum (NISQ) computers face a critical limitation in qubit numbers, hindering their progression towards large-scale and fault-tolerant quantum computing.…