Zobrazeno 1 - 10
of 428
pro vyhledávání: '"Tan, Sheldon X. D."'
In this paper, we propose a new hybrid temporal computing (HTC) framework that leverages both pulse rate and temporal data encoding to design ultra-low energy hardware accelerators. Our approach is inspired by the recently proposed temporal computing
Externí odkaz:
http://arxiv.org/abs/2407.08975
Publikováno v:
In Integration July 2024 97
In this paper, we propose a novel accuracy-reconfigurable stochastic computing (ARSC) framework for dynamic reliability and power management. Different than the existing stochastic computing works, where the accuracy versus power/energy trade-off is
Externí odkaz:
http://arxiv.org/abs/2004.13320
In this paper, we propose a fast transient hydrostatic stress analysis for electromigration (EM) failure assessment for multi-segment interconnects using generative adversarial networks (GANs). Our work leverages the image synthesis feature of GAN-ba
Externí odkaz:
http://arxiv.org/abs/2004.13181
Autor:
Tan, Sheldon X. D., Chen, Liang
In this paper, we propose a new real-time differential virus transmission model, which can give more accurate and robust short-term predictions of COVID-19 transmitted infectious disease with benefits of near-term trend projection. Different from the
Externí odkaz:
http://arxiv.org/abs/2004.06888
Publikováno v:
In Integration November 2023 93
Ising computing provides a new computing paradigm for many hard combinatorial optimization problems. Ising computing essentially tries to solve the quadratic unconstrained binary optimization problem, which is also described by the Ising spin glass m
Externí odkaz:
http://arxiv.org/abs/1908.00210
Autor:
Peng, Shaoyi, Tan, Sheldon X. -D.
LU factorization for sparse matrices is the most important computing step for many engineering and scientific computing problems such as circuit simulation. But parallelizing LU factorization with the Graphic Processing Units (GPU) still remains a ch
Externí odkaz:
http://arxiv.org/abs/1908.00204