Zobrazeno 1 - 10
of 3 022
pro vyhledávání: '"Fang Bo"'
Publikováno v:
In Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 2024 Apr 27 (pp. 980-998)
The Quantum Approximate Optimization Algorithm (QAOA) addresses combinatorial optimization challenges by converting inputs to graphs. However, the optimal parameter searching process of QAOA is greatly affected by noise. Larger problems yield bigger
Externí odkaz:
http://arxiv.org/abs/2407.14490
Autor:
Li, Ang, Liu, Chenxu, Stein, Samuel, Suh, In-Saeng, Zheng, Muqing, Wang, Meng, Shi, Yue, Fang, Bo, Roetteler, Martin, Humble, Travis
Although there have been remarkable advances in quantum computing (QC), it remains crucial to simulate quantum programs using classical large-scale parallel computing systems to validate quantum algorithms, comprehend the impact of noise, and develop
Externí odkaz:
http://arxiv.org/abs/2404.13184
Autor:
Li, Xinyi, Li, Ang, Fang, Bo, Swirydowicz, Katarzyna, Laguna, Ignacio, Gopalakrishnan, Ganesh
NVIDIA Tensor Cores and AMD Matrix Cores (together called Matrix Accelerators) are of growing interest in high-performance computing and machine learning owing to their high performance. Unfortunately, their numerical behaviors are not publicly docum
Externí odkaz:
http://arxiv.org/abs/2403.00232
Autor:
Fang, Bo, Li, Xinyi, Dam, Harvey, Tan, Cheng, Hari, Siva Kumar Sastry, Tsai, Timothy, Laguna, Ignacio, Tao, Dingwen, Gopalakrishnan, Ganesh, Nair, Prashant, Barker, Kevin, Li, Ang
Emerging deep learning workloads urgently need fast general matrix multiplication (GEMM). To meet such demand, one of the critical features of machine-learning-specific accelerators such as NVIDIA Tensor Cores, AMD Matrix Cores, and Google TPUs is th
Externí odkaz:
http://arxiv.org/abs/2311.05782
In this extended abstract, we have introduced a highly memory-efficient state vector simulation of quantum circuits premised on data compression, harnessing the capabilities of both CPUs and GPUs. We have elucidated the inherent challenges in archite
Externí odkaz:
http://arxiv.org/abs/2309.16979
This paper presents a comprehensive investigation into encrypted computations using the CKKS (Cheon-Kim-Kim-Song) scheme, with a focus on multi-dimensional vector operations and real-world applications. Through two meticulously designed experiments,
Externí odkaz:
http://arxiv.org/abs/2309.07284
Autor:
Wang, Daoce, Pulido, Jesus, Grosset, Pascal, Tian, Jiannan, Jin, Sian, Tang, Houjun, Sexton, Jean, Di, Sheng, Lukić, Zarija, Zhao, Kai, Fang, Bo, Cappello, Franck, Ahrens, James, Tao, Dingwen
As supercomputers advance towards exascale capabilities, computational intensity increases significantly, and the volume of data requiring storage and transmission experiences exponential growth. Adaptive Mesh Refinement (AMR) has emerged as an effec
Externí odkaz:
http://arxiv.org/abs/2307.09609
Publikováno v:
Shanghai yufang yixue, Vol 36, Iss 5, Pp 463-468 (2024)
ObjectiveTo design a prospective nested case-control study based on a city-wide birth cohort of Shanghai, so as to understand their health status and explore the influencing factors of birth defects.MethodsBased on the birth registration covering t
Externí odkaz:
https://doaj.org/article/5610cd4220894a9c829e591e67814ed8
Autor:
Fang, Bo, Wu, Wenhao, Liu, Chang, Zhou, Yu, Song, Yuxin, Wang, Weiping, Shu, Xiangbo, Ji, Xiangyang, Wang, Jingdong
With the explosive growth of web videos and emerging large-scale vision-language pre-training models, e.g., CLIP, retrieving videos of interest with text instructions has attracted increasing attention. A common practice is to transfer text-video pai
Externí odkaz:
http://arxiv.org/abs/2301.06309
Most existing text-video retrieval methods focus on cross-modal matching between the visual content of videos and textual query sentences. However, in real-world scenarios, online videos are often accompanied by relevant text information such as titl
Externí odkaz:
http://arxiv.org/abs/2301.00184