As general-purpose processors have hit the power wall and chip fabrication cost escalates
alarmingly, coarse-grained reconfigurable architectures (CGRAs) are attracting increasing …

Over the past four years, the Big Data and Exascale Computing (BDEC) project organized a
series of five international workshops that aimed to explore the ways in which the new forms …

Over the last years, a steady increase in both domestic electricity consumption and in the
adoption of personal clean energy production systems has been observed worldwide. By …

Sensors and intelligent applications enabling smart vehicular traffic create an opportunity for
improving the welfare of people, from the viewpoints of efficiency, sustainability, and social …

We propose an adaptive scheme to reduce communication overhead caused by data
movement by selectively storing the diagonal blocks of a block‐Jacobi preconditioner in …

Understanding power usage in parallel workloads is crucial to develop the energy-aware
software that will run in future Exascale systems. In this paper, we contribute towards this …

In the autonomic computing context, the system is perceived as a set of autonomous
elements capable of self-management, where end-users define high-level goals and the …

With the memory bandwidth of current computer architectures being significantly slower than
the (floating point) arithmetic performance, many scientific computations only leverage a …

Computing systems are evolving rapidly. At the device level, emerging devices are
beginning to compete with traditional CMOS systems. At the architecture level, novel …

Abstract The Internet of Things (IoT) is driving the next economic revolution where the main
actors are both data and immediacy. The IoT ecosystem is increasingly generating large …