5 papers
From Local Mismatch to Global Impact: Optimizing Cache Reuse Policy for Efficient Diffusion
Xichen Ye, Yifan Wu, Zhikang Xie +3
Diffusion models have achieved dominant performance in visual generation but suffer from substantial inference overhead. While cache-based acceleration has emerged as a promising s…
A micromagnetic model with bidirectional magneto-thermal coupling
Peiru Yi, Zian Xia, Weichao Yu
Most conventional micromagnetic frameworks in spin caloritronics rely on a unidirectional coupling approximation, wherein thermal fluctuations drive magnetization dynamics while th…
Superior probabilistic computing using operationally stable probabilistic-bit constructed by manganite nanowire
Yadi Wang, Bin Chen, Wenping Gao +7
Probabilistic computing has emerged as a viable approach to treat optimization problems. To achieve superior computing performance, the key aspect during computation is massive sam…
A self-learning magnetic Hopfield neural network with intrinsic gradient descent adaption
Chang Niu, Huanyu Zhang, Chuanlong Xu +14
Physical neural networks using physical materials and devices to mimic synapses and neurons offer an energy-efficient way to implement artificial neural networks. Yet, training phy…
Probing disorder-induced time-reversal symmetry breaking in Josephson junctions
Yu Wu, Daiqiang Huang, Huanyu Zhang +13
The relation between superconductivity and time-reversal symmetry (TRS) is one of the most fascinating problems in condensed matter physics. Although most superconductors inherentl…