Today’s general-purpose processors are increasingly using multithreading in order to better leverage the additional on-chip real estate available with each technology generation...
Ali El-Moursy, Rajeev Garg, David H. Albonesi, San...
Simultaneous Multi-Threading (SMT) processors are becoming popular because they exploit both instruction-level and threadlevel parallelism by issuing instructions from different t...
Simultaneous Multithreaded (SMT) processors improve the instruction throughput by allowing fetching and running instructions from several threads simultaneously at a single cycle....
The major limitation in bilingual latent semantic analysis (bLSA) is the requirement of parallel training corpora. Motivated by semi-supervised learning, we propose a clusterbased...
In this paper, we present an unsupervised hybrid model which combines statistical, lexical, linguistic, contextual, and temporal features in a generic EMbased framework to harvest...