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 …

Process malleability has proved to have a highly positive impact on the resource utilization
and global productivity in data centers compared with the conventional static resource …

Supporting sustainability through modelling and analysis has become an active area of
research in Software Engineering. Therefore, it is important and timely to survey the current …

Malleability allows computing facilities to adapt their workloads through resource
management systems to maximize the throughput of the facility and the efficiency of the …

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 …

Several studies have proved the benefits of job malleability, that is, the capacity of an
application to adapt its parallelism to a dynamically changing number of allocated …

The adoption of graphic processor units (GPU) in high-performance computing (HPC)
infrastructures determines, in many cases, the energy consumption of those facilities. For …

Malleability is defined as the ability to vary the degree of parallelism at runtime, and is
regarded as a means to improve core occupation on state-of-the-art multicore processors …

Applying malleability to HPC systems can increase their productivity without degrading or
even improving the performance of running applications. This paper presents Proteo, a …

Elastic parallel applications that can change the number of processors while being executed
promise improved application and system performance, allow new classes of data and event …