Heterogeneous multiprocessor systems, which are composed of a mix of processing
elements, such as commodity multicore processors, graphics processing units (GPUs), and …

This paper introduces FLEX-MPI, a novel runtime approach for the dynamic load balancing
of MPI-based SPMD applications running on heterogeneous platforms in the presence of …

Modern standards in High Performance Computing (HPC) have started to consider energy
consumption and power draw as a limiting factor. New and more complex architectures have …

Traditional load balancing algorithms for data-intensive iterative routines can successfully
load balance relatively small problems. We demonstrate that they may fail on highly …

This work studies the problem of balancing the workload of iterative algorithms on
heterogeneous multiprocessors. An approach, called ADITHE, is proposed and evaluated …

Self‐adaptability is a highly preferred feature in HPC applications. A crucial building block of
a self‐adaptable application is a data partitioning algorithm that must possess several …

This paper presents a load balancing algorithm specifically designed for heterogeneous
clusters, composed of nodes with different computational capabilities. The method is based …

Parallel computing in heterogeneous environments is drawing considerable attention due to
the growing number of these kind of systems. Adapting existing code and libraries to such …

The advent of multicore systems, joined to the potential acceleration of the graphics
processing units, alleviates some well known important architectural problems at the …

Hierarchical level of heterogeneity exists in many modern high performance clusters in the
form of heterogeneity between computing nodes, and within a node with the addition of …