Statistical static timing analysis (SSTA) has been a popular research topic in recent years. A fundamental issue with applying SSTA in practice today is the lack of reliable and e...
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
This paper establishes tight bounds on the best-case time-complexity of distributed atomic read/write storage implementations that tolerate worst-case conditions. We study asynchr...
Certain hard real-time tasks demand precise timing of events, but the usual software solution of periodic interrupts driving a scheduler only provides precision in the millisecond ...
Legacy program execution system, which is necessary for Grid to enable users to reuse all legacy programs without reengineering source codes, is still an open problem. We propose ...