Zobrazeno 1 - 10
of 273
pro vyhledávání: '"YANG Ziyue"'
In the theory of dynamic programming, an optimal policy is a policy whose lifetime value dominates that of all other policies at every point in the state space. This raises a natural question: under what conditions does optimality at a single state i
Externí odkaz:
http://arxiv.org/abs/2411.11062
Autor:
Yang, Ziyue, Li, Chen, Ran, Yuqia, Li, Yongzhuo, Feng, Xue, Cui, Kaiyu, Liu, Fang, Sun, Hao, Zhang, Wei, Ye, Yu, Qiao, Fei, Ning, Cun-Zheng, Wang, Jiaxing, Chang-Hasnain, Connie J., Huang, Yidong
Photonic linear operation is a promising approach to handle the extensive vector multiplications in artificial intelligence techniques due to the natural bosonic parallelism and high-speed information transmission of photonics. Although it is believe
Externí odkaz:
http://arxiv.org/abs/2410.23659
Autor:
Xu, Yuming, Liang, Hengyu, Li, Jin, Xu, Shuotao, Chen, Qi, Zhang, Qianxi, Li, Cheng, Yang, Ziyue, Yang, Fan, Yang, Yuqing, Cheng, Peng, Yang, Mao
Approximate Nearest Neighbor Search (ANNS) is now widely used in various applications, ranging from information retrieval, question answering, and recommendation, to search for similar high-dimensional vectors. As the amount of vector data grows cont
Externí odkaz:
http://arxiv.org/abs/2410.14452
Autor:
Ouyang, Jiayi, Liu, Shengping, Yang, Ziyue, Wang, Wei, Feng, Xue, Li, Yongzhuo, Huang, Yidong
In this article, we proposed a programmable 16-channel photonic solver for quadratic unconstrained binary optimization (QUBO) problems. The solver is based on a hybrid optoelectronic scheme including a photonic chip and the corresponding electronic d
Externí odkaz:
http://arxiv.org/abs/2407.04713
Autor:
Zhao, Liangyu, Maleki, Saeed, Shah, Aashaka, Yang, Ziyue, Pourreza, Hossein, Krishnamurthy, Arvind
As modern DNN models grow ever larger, collective communications between the accelerators (allreduce, etc.) emerge as a significant performance bottleneck. Designing efficient communication schedules is challenging, given today's highly diverse and h
Externí odkaz:
http://arxiv.org/abs/2402.06787
Autor:
Xiong, Yifan, Jiang, Yuting, Yang, Ziyue, Qu, Lei, Zhao, Guoshuai, Liu, Shuguang, Zhong, Dong, Pinzur, Boris, Zhang, Jie, Wang, Yang, Jose, Jithin, Pourreza, Hossein, Baxter, Jeff, Datta, Kushal, Ram, Prabhat, Melton, Luke, Chau, Joe, Cheng, Peng, Xiong, Yongqiang, Zhou, Lidong
Reliability in cloud AI infrastructure is crucial for cloud service providers, prompting the widespread use of hardware redundancies. However, these redundancies can inadvertently lead to hidden degradation, so called "gray failure", for AI workloads
Externí odkaz:
http://arxiv.org/abs/2402.06194
Autor:
Peng, Houwen, Wu, Kan, Wei, Yixuan, Zhao, Guoshuai, Yang, Yuxiang, Liu, Ze, Xiong, Yifan, Yang, Ziyue, Ni, Bolin, Hu, Jingcheng, Li, Ruihang, Zhang, Miaosen, Li, Chen, Ning, Jia, Wang, Ruizhe, Zhang, Zheng, Liu, Shuguang, Chau, Joe, Hu, Han, Cheng, Peng
In this paper, we explore FP8 low-bit data formats for efficient training of large language models (LLMs). Our key insight is that most variables, such as gradients and optimizer states, in LLM training can employ low-precision data formats without c
Externí odkaz:
http://arxiv.org/abs/2310.18313
Autor:
Zhong, Haonan, Chang, Jiamin, Yang, Ziyue, Wu, Tingmin, Arachchige, Pathum Chamikara Mahawaga, Pathmabandu, Chehara, Xue, Minhui
Generative AI (e.g., Generative Adversarial Networks - GANs) has become increasingly popular in recent years. However, Generative AI introduces significant concerns regarding the protection of Intellectual Property Rights (IPR) (resp. model accountab
Externí odkaz:
http://arxiv.org/abs/2303.09272
Publikováno v:
Engineering, Construction and Architectural Management, 2023, Vol. 31, Issue 4, pp. 1696-1714.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ECAM-03-2022-0247
Autor:
Yang, Ziyue1 (AUTHOR), Park, Kundo2,3 (AUTHOR), Nam, Jisoo1 (AUTHOR), Cho, Jaewon1 (AUTHOR), Choi, Yong Jun1 (AUTHOR), Kim, Yong‐Il4 (AUTHOR), Kim, Hyeonsoo1 (AUTHOR), Ryu, Seunghwa2 (AUTHOR), Kim, Miso1,5 (AUTHOR) smilekim@skku.edu
Publikováno v:
Advanced Science. 9/4/2024, Vol. 11 Issue 33, p1-14. 14p.