In recent years, the limits of the multicore approach emerged in the so-called “dark silicon”
issue and diminishing returns of an ever-increasing core count. Hardware manufacturers …

Computer systems increasingly rely on heterogeneity to achieve greater performance,
scalability and energy efficiency. Because heterogeneous systems typically comprise …

Clusters of GPUs are emerging as a new computational scenario. Programming them
requires the use of hybrid models that increase the complexity of the applications, reducing …

The throughput of supercomputers depends not only on efficient job scheduling but also on
the type of jobs that form the workload. Malleable jobs are most favourable for a cluster as …

Maintaining a high rate of productivity, in terms of completed jobs per unit of time, in High-
Performance Computing (HPC) facilities is a cornerstone in the next generation of exascale …

The tasking model of OpenMP 4.0 supports both nesting and the definition of dependences
between sibling tasks. A natural way to parallelize many codes with tasks is to first taskify the …

The need for features for managing complex data accesses in modern programming models
has increased due to the emerging hardware architectures. HPC hardware has moved …

There is a widening gap between GPU and other components (CPU, PCIe bus and
communication network) in heterogeneous parallel system. The gap forces us to orchestrate …

OmpSs is a task-based programming model that aims to provide portability and flexibility for
sequential codes while the performance is achieved by the dynamic exploitation of the …

Cyber-Physical Systems (CPSs) are becoming widely used in every application that requires
interaction between humans and the physical environment. People expect this interaction to …