In the past few years, MPSoC has become the most popular solution for embedded computing. However, the challenge of programming MPSoCs also comes as the biggest side-effect of the...
We have developed a function-level power estimation methodology for predicting the power dissipation of embedded software. For a given microprocessor core, we empirically build th...
Gang Qu, Naoyuki Kawabe, Kimiyoshi Usami, Miodrag ...
Software-based self-test (SBST) is emerging as a promising technology for enabling at-speed test of high-speed microprocessors using low-cost testers. We explore the fault diagnos...
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...