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 …

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 this paper we present a new environment called MERPSYS that allows simulation of
parallel application execution time on cluster-based systems. The environment offers a …

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 paper we present extensive results from analyzing energy/performance trade-offs with
power capping observed on four different modern CPUs, for three different parallel …

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 …

Two new algorithms for the all-reduce operation optimized for imbalanced process arrival
patterns (PAPs) are presented:(1) sorted linear tree,(2) pre-reduced ring as well as a new …

The paper presents modeling and simulation of energy consumption of two types of parallel
applications: geometric Single Program Multiple Data (SPMD) and divide-and-conquer …

Imbalanced process arrival patterns (PAPs) are ubiquitous in many parallel and distributed
systems, especially in HPC ones. The collective operations, eg in MPI, are designed for …

Two novel algorithms for the all-gather operation resilient to imbalanced process arrival
patterns (PATs) are presented. The first one, Background Disseminated Ring (BDR), is …