Job management software on peta-and exascale supercomputers continues to provide static
resource allocations, from a program's start until its end. Dynamic resource allocation and …

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 …

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

With the growing constraints on power budget and increasing hardware failure rates, the
operation of future exascale systems faces several challenges. Towards this, resource …

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 …

The rigid MPI programming model and batch scheduling dominate high-performance
computing. While clouds brought new levels of elasticity into the world of computing …

Today, all computers have some degree of usable parallelism. Modern computers are
explicitly equipped with hardware support for parallelism, such as multiple nodes …

In the design of future HPC systems, research in resource management is showing an
increasing interest in a more dynamic control of the available resources. It has been proven …

Resource elasticity allows to dynamically change the resources of running jobs, which may
significantly improve the throughput on supercomputers. Elasticity requires support from …