9 citations · 18 across the 4 of their papers we have counts for
4 papers
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…
Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks
Chuan-Chi Wang, Ying-Chiao Liao, Ming-Chang Kao +2
In this paper, we provide a fine-grain machine learning-based method, PerfNetV2, which improves the accuracy of our previous work for modeling the neural network performance on a v…