The evolution of parallel architectures points to dynamic environments where the number of
available resources or configurations may vary during the execution of applications. This …

Portable parallel programming models provide the potential for high performance and
productivity, however they come with a multitude of runtime parameters that can have …

Modern parallel platforms, such as clouds or servers, are often shared among many different
jobs. However, existing parallel programming runtime systems are designed and optimized …

Utilizing heterogeneous accelerators, especially GPUs, to accelerate machine learning
tasks has shown to be a great success in recent years. GPUs bring huge performance …

Page placement is a critical problem for memory-intensive applications running on a shared-
memory multiprocessor with a non-uniform memory access (NUMA) architecture. State-of …

Automatic parameter tuning of parallel codes is ubiquitous in today's HPC environments
where the performance portability of said codes is expected to keep pace with the perpetual …

Shared security-critical systems are typically organized as a set of domains that must be kept
separate. The network-on-chip (NoC) is key to delivering strong domain isolation, since …

Optimizing energy-efficiency of modern multicore compute systems through online control is
often regarded as both promising and challenging. In this paper, we propose a dynamic …

Cloud computing has become ubiquitous due to its resource flexibility and cost efficiency.
Resource flexibility allows Cloud users to elastically scale their Cloud resources, for …

[EN] One of the main concerns of today's data centers is to maximize server utilization. In
each server processor, multiple applications are executed concurrently, increasing resource …