High-performance computing (HPC), according to its name, is traditionally oriented toward
performance, especially the execution time and scalability of the computations. However …

The paper presents state of the art of energy‐aware high‐performance computing (HPC), in
particular identification and classification of approaches by system and device types …

GPU accelerators have become essential to the recent advance in computational power of
high-performance computing (HPC) systems. Current HPC systems' reaching an …

In view of the growing presence and popularity of multicore and manycore processors,
accelerators, and coprocessors, as well as clusters using such computing devices, the …

In the article we propose an automatic power capping software tool DEPO that allows one to
perform runtime optimization of performance and energy related metrics. For an assumed …

In the article, we have proposed a framework that allows programming a parallel application
for a multi‐node system, with one or more graphical processing units (GPUs) per node …

The paper presents design, implementation and tuning of a hybrid parallel OpenMP+ CUDA
code for computation of similarity between pairs of a large number of multidimensional …

Autonomous vehicular systems require computer vision and intelligent on-board decision
making functionalities that include a mix of sequential and parallel workloads. The execution …

The paper presents a new open‐source framework called KernelHive for multilevel
parallelization of computations among various clusters, cluster nodes, and finally, among …

In the paper we present investigation of performance-energy trade-offs under power capping
using modern processors. The results are presented for systems targeted at both server and …