Most of the large-scale scientific experiments modeled as scientific workflows produce a
large amount of data and require workflow parallelism to reduce workflow execution time …

Cloud computing enables the execution of various applications submitted by the users in the
virtualized Cloud environment. However, the Cloud infrastructure consumes a significant …

ExaNest is one of three European projects that support a ground-breaking computing
architecture for exascale-class systems built upon power-efficient 64-bit ARM processors …

The ongoing effort to reach the exascale computing barrier has led to a myriad of research
and publications in the topic of alternative energy-efficient architectures, such as ARM, for …

First defined two decades ago, the memory wall remains a fundamental limitation to system
performance. Recent innovations in 3D-stacking technology enable DRAM devices with …

In order to reach exascale performance, current HPC systems need to be improved. Simple
hardware scaling is not a feasible solution due to the increasing utility costs and power …

Performance analysis tools allow application developers to identify and characterize the
inefficiencies that cause performance degradation in their codes, allowing for application …

OS-capable embedded systems exhibiting a very low power consumption are available at
an extremely low price point. It makes them highly compelling in a datacenter context. In this …

Power consumption and high compute density are the key factors to be considered when
building a compute node for the upcoming Exascale revolution. Current architectural design …

Big Data and machine learning constitute the multifaceted challenge of computer
engineering in the past decade. The meaningful processing of vast amounts of unstructured …