Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Dai, Huangliang"'
Autor:
Wu, Shixun, Ding, Yitong, Zhai, Yujia, Liu, Jinyang, Huang, Jiajun, Jian, Zizhe, Dai, Huangliang, Di, Sheng, Wong, Bryan M., Chen, Zizhong, Cappello, Franck
K-means is a widely used algorithm in clustering, however, its efficiency is primarily constrained by the computational cost of distance computing. Existing implementations suffer from suboptimal utilization of computational units and lack resilience
Externí odkaz:
http://arxiv.org/abs/2408.01391
Autor:
Wu, Shixun, Zhai, Yujia, Liu, Jinyang, Huang, Jiajun, Jian, Zizhe, Dai, Huangliang, Di, Sheng, Chen, Zizhong, Cappello, Franck
The Fast Fourier Transform (FFT), as a core computation in a wide range of scientific applications, is increasingly threatened by reliability issues. In this paper, we introduce TurboFFT, a high-performance FFT implementation equipped with a two-side
Externí odkaz:
http://arxiv.org/abs/2405.02520