This paper evaluates several hardware-based data prefetching techniques from an energy perspective, and explores their energy/performance tradeoffs. We present detailed simulation...
Yao Guo, Saurabh Chheda, Israel Koren, C. Mani Kri...
Cellular Neural Networks are widely used with real-time image processing's applications. Such systems can be efficiently realized using macro enriched fieldprogrammable gate-...
Background: Automatic quantification of neuronal morphology from images of fluorescence microscopy plays an increasingly important role in high-content screenings. However, there ...
In the last decade, cluster computing has become the most popular high-performance computing architecture. Although numerous technological innovations have been proposed to improv...
Transactional Memory aims to provide a programming model that makes parallel programming easier. Hardware implementations of transactional memory (HTM) suffer from fewer overhead...
Sasa Tomic, Cristian Perfumo, Chinmay Eishan Kulka...