Reducing energy consumption using heterogeneous voltage frequency scaling of data-parallel applications for multicore systems

P Bratek, L Szustak, R Wyrzykowski, T Olas - Journal of Parallel and …, 2023 - Elsevier
This paper investigates the exploitation of heterogeneous DVFS (dynamic voltage frequency
scaling) control for improving the energy efficiency of data-parallel applications on ccNUMA …

AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing

K Rojek, R Wyrzykowski, P Gepner - … , Krakow, Poland, June 16–18, 2021 …, 2021 - Springer
In this paper, we propose a method for accelerating CFD (computational fluid dynamics)
simulations by integrating a conventional CFD solver with our AI module. The investigated …

Performance exploration of various C/C++ compilers for AMD EPYC processors in numerical modeling of solidification

K Halbiniak, R Wyrzykowski, L Szustak… - … in Engineering Software, 2022 - Elsevier
The phase-field (PF) method is a powerful tool for solving interfacial problems in materials
science. This paper's primary goal is to assess the impact of various state-of-the-art C/C++ …

DEPO: A dynamic energy‐performance optimizer tool for automatic power capping for energy efficient high‐performance computing

A Krzywaniak, P Czarnul… - Software: Practice and …, 2022 - Wiley Online Library
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 …

Architectural adaptation and performance-energy optimization for CFD application on AMD EPYC Rome

L Szustak, R Wyrzykowski… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The advantages of the second-generation AMD EPYC Rome processors can be
successfully used in the race to Exascale. However, the novel architecture's complexity …

[HTML][HTML] Profiling and optimization of Python-based social sciences applications on HPC systems by means of task and data parallelism

L Szustak, M Lawenda, S Arming, G Bankhamer… - Future Generation …, 2023 - Elsevier
The article presents optimization techniques for two Python-based large-scale social
sciences applications: SN (Social Network) Simulator and KPM (Kernel Polynomial Method) …

SIMD vectorization for simultaneous solution of locally varying linear systems with multiple right-hand sides

MJ Kühn, J Holke, A Lutz, J Thies… - The Journal of …, 2023 - Springer
Developments in numerical simulation of flows and high-performance computing influence
one another. More detailed simulation methods create a permanent need for more …

The impact of vectorization and parallelization of the slope algorithm on performance and energy efficiency on multi-core architecture

B Bylina, J Potiopa, M Klisowski… - 2021 16th Conference …, 2021 - ieeexplore.ieee.org
Calculation of land-surface parameters (eg slope, aspect, curvature) is an important part of
many geospatial analyses. Current research trends are aimed at developing new software …

Optimizing performance and energy efficiency in massively parallel systems

R Nozal - 2022 - repositorio.unican.es
Heterogeneous systems are becoming increasingly relevant, due to their performance and
energy efficiency capabilities, being present in all types of computing platforms, from …

Generalized Ware-Amdhal Law

V Mele, D Romano - 2024 32nd Euromicro International …, 2024 - ieeexplore.ieee.org
We herein briefly describe a multilevel approach to analyze parallel algorithms
performances. The main outcome of such an approach is that the algorithm is described …