Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Deep submicron processes have allowed FPGAs to grow in complexity and speed. However, such technology scaling has caused FPGAs to become more susceptible to the effects of process...
Abstract—Although energy-efficient real-time task scheduling has attracted a lot of attention in the past decade, most existing results assumed deterministic execution lengths f...
Reliability-aware power management (RAPM) schemes, which consider the negative effects of voltage scaling on system reliability, were recently studied to save energy while preserv...
Abstract— Measurements have shown that network path failures occur frequently in the Internet and physical link failures can cause network instability in large scale and severity...