RISC vs. CISC wars raged in the 1980s when chip area and processor design complexity
were the primary constraints and desktops and servers exclusively dominated the computing …

Heterogeneous multicore architectures have the potential for high performance and energy
efficiency. These architectures may be composed of small power-efficient cores, large high …

Mobile edge computing, which enhances the computing power of mobile devices via
computation offloading technology, has been proposed as a promising paradigm to alleviate …

Offloading computation based on mobile edge computing paradigms can augment the
computational capabilities of resource-scarce mobile devices. However, the capacity …

The increased need for data, combined with the emergence of powerful Internet of Things
(IoT) devices, has resulted in major security concerns. The decision-making related to …

Classical cryptographic schemes in use today are based on the difficulty of certain number
theoretic problems. Security is guaranteed by the fact that the computational work required …

Recent research has repeatedly shown that machine learning techniques can be applied to
either whole files or file fragments to classify them for analysis. We build upon these …

Computational modeling of drug binding to proteins is an integral component of direct drug
design. Particularly, structure-based virtual screening is often used to perform large-scale …

Scale-out infrastructure such as Cloud is built upon a large network of multi-core processors.
Performance, power consumption, and capital cost of such infrastructure depend on the …

Abstract System-on-Chip (SoC) technology enables integrating all the functionality required
to control and process science data delivered by space instruments in a single silicon chip …