Estimating distances in the Internet has been studied in the recent years due to its ability to improve the performance of many applications, e.g., in the peer-topeer realm. One sc...
As transistor dimensions continue to scale deep into the nanometer regime, silicon reliability is becoming a chief concern. At the same time, transistor counts are scaling up, ena...
Andrew DeOrio, Konstantinos Aisopos, Valeria Berta...
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Accurate branch prediction is essential for obtaining high performance in pipelined superscalar processors. Though many dynamic branch predictors have been proposed to obtain high...
—We investigate the issue of designing a kernel programming language for mobile computing and describe KLAIM, a language that supports a programming paradigm where processes, lik...
Rocco De Nicola, Gian Luigi Ferrari, Rosario Pugli...