9 citations · 18 across the 9 of their papers we have counts for
10 papers
Exploring LLM-based Verilog Code Generation with Data-Efficient Fine-Tuning and Testbench Automation
Mu-Chi Chen, Po-Hsuan Huang, Yu-Hung Kao +6
Recent advances in large language models have improved code generation, but their use in hardware description languages is still limited. Moreover, training data and testbenches fo…
Large-Scale Quantum Circuit Simulation on HPC Cluster via Cache Blocking, Boosting, and Gate Fusion Optimization
Chuan-Chi Wang, Yan-Jie Wang, Chia-Heng Tu +1
Quantum circuit simulation is crucial for the development of quantum algorithms, particularly given the high cost and noise limitations of physical quantum hardware. While full-sta…
ParaQAOA: Efficient Parallel Divide-and-Conquer QAOA for Large-Scale Max-Cut Problems Beyond 10,000 Vertices
Po-Hsuan Huang, Xie-Ru Li, Chi Chuang +2
Quantum Approximate Optimization Algorithm (QAOA) has emerged as a promising solution for combinatorial optimization problems using a hybrid quantum-classical framework. Among comb…
SiliconMind-V1: Multi-Agent Distillation and Debug-Reasoning Workflows for Verilog Code Generation
Mu-Chi Chen, Yu-Hung Kao, Po-Hsuan Huang +10
Large language models (LLMs) have recently emerged as a promising approach for automating Verilog code generation; however, existing methods primarily emphasize syntactic correctne…
Towards Building Private LLMs: Exploring Multi-Node Expert Parallelism on Apple Silicon for Mixture-of-Experts Large Language Model
Mu-Chi Chen, Po-Hsuan Huang, Xiangrui Ke +3
Large Language Models (LLMs) have revolutionized Artificial Intelligence (AI) with significant advancements such as OpenAI's ChatGPT, Meta's Llama, and Databricks' DBRX. This paper…
QOPS: A Compiler Framework for Quantum Circuit Simulation Acceleration with Profile Guided Optimizations
Yu-Tsung Wu, Po-Hsuan Huang, Kai-Chieh Chang +2
Quantum circuit simulation is important in the evolution of quantum software and hardware. Novel algorithms can be developed and evaluated by performing quantum circuit simulations…
Queen: A quick, scalable, and comprehensive quantum circuit simulation for supercomputing
Chuan-Chi Wang, Yu-Cheng Lin, Yan-Jie Wang +2
The state vector-based simulation offers a convenient approach to developing and validating quantum algorithms with noise-free results. However, limited by the absence of cache-awa…
Towards Optimizations of Quantum Circuit Simulation for Solving Max-Cut Problems with QAOA
Yu-Cheng Lin, Chuan-Chi Wang, Chia-Heng Tu +1
Quantum approximate optimization algorithm (QAOA) is one of the popular quantum algorithms that are used to solve combinatorial optimization problems via approximations. QAOA is ab…
cuPSO: GPU Parallelization for Particle Swarm Optimization Algorithms
Chuan-Chi Wang, Chun-Yen Ho, Chia-Heng Tu +1
Particle Swarm Optimization (PSO) is a stochastic technique for solving the optimization problem. Attempts have been made to shorten the computation times of PSO based algorithms w…
ResPerfNet: Deep Residual Learning for Regressional Performance Modeling of Deep Neural Networks
Chuan-Chi Wang, Ying-Chiao Liao, Chia-Heng Tu +3
The rapid advancements of computing technology facilitate the development of diverse deep learning applications. Unfortunately, the efficiency of parallel computing infrastructures…