The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
In recent years, GPUs have emerged as an extremely cost-effective means for achieving high performance. Many application developers, including those with no prior parallel program...
Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawa...
In 21st-Century VLSI design, clocking plays crucial roles for both performance and timing convergence. Due to their non-convex nature, optimal minimum-delay/area zero-skew wire-si...
Jeng-Liang Tsai, Tsung-Hao Chen, Charlie Chung-Pin...
r of high-level languages lies in their abstraction over hardware and software complexity, leading to greater security, better reliability, and lower development costs. However, o...
Daniel Frampton, Stephen M. Blackburn, Perry Cheng...
Abstract--Thermal issues are fast becoming major design constraints in high-performance systems. Temperature variations adversely affect system reliability and prompt worst-case de...
Amit Kumar 0002, Li Shang, Li-Shiuan Peh, Niraj K....