Software-based self-test (SBST) is an emerging approach to address the challenges of high-quality, at-speed test for complex programmable processors and systems-on chips (SoCs) th...
Li Chen, Srivaths Ravi, Anand Raghunathan, Sujit D...
We propose a new fault localization technique for software bugs in large-scale computing systems. Our technique always collects per-process function call traces of a target system...
Computer system designers often evaluate future design alternatives with detailed simulators that strive for functional fidelity (to execute relevant workloads) and performance fi...
We study the convergence properties of an alternating proximal minimization algorithm for nonconvex structured functions of the type: L(x, y) = f(x)+Q(x, y)+g(y), where f : Rn → ...
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...