Desktop Grids have emerged as an important methodology to harness the idle cycles of millions of participant desktop PCs over the Internet. However, to effectively utilize the res...
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Mic...
We study diagnosis of segments on speedpaths that fail the timing constraint at the post-silicon stage due to manufacturing variations. We propose a formal procedure that is appli...
We have developed a system architecture, measuring and modeling techniques, and algorithms for on-line power and energy optimization and thermal management. The starting point for...
—Due to increase in demand for reconfigurability in embedded systems, real-time task scheduling is challenged by non-negligible reconfiguration overheads. If such overheads are n...