7 citations · 8 across the 6 of their papers we have counts for
6 papers
EuroHPC SPACE CoE: Redesigning Scalable Parallel Astrophysical Codes for Exascale
Nitin Shukla, Alessandro Romeo, Caterina Caravita +36
High Performance Computing (HPC) based simulations are crucial in Astrophysics and Cosmology (A&C), helping scientists investigate and understand complex astrophysical phenomena. T…
The PLUTO Code on GPUs: A First Look at Eulerian MHD Methods
Marco Rossazza, Andrea Mignone, Matteo Bugli +7
We present preliminary performance results of gPLUTO, the new GPU-optimized implementation of the PLUTO code for computational plasma astrophysics. Like its predecessor, gPLUTO emp…
Heterogeneous Memory Pool Tuning
Filip Vaverka, Ondrej Vysocky, Lubomir Riha
We present a lightweight tool for the analysis and tuning of application data placement in systems with heterogeneous memory pools. The tool allows non-intrusively identifying, ana…
Methodology for GPU Frequency Switching Latency Measurement
Daniel Velicka, Ondrej Vysocky, Lubomir Riha
The development of exascale and post-exascale HPC and AI systems integrates thousands of CPUs and specialized accelerators, making energy optimization critical as power costs rival…
Scalable Flow Simulations with the Lattice Boltzmann Method
Markus Holzer, Jayesh Badwaik, Radim Vavrik +7
The primary goal of the EuroHPC JU project SCALABLE is to develop an industrial Lattice Boltzmann Method (LBM)-based computational fluid dynamics (CFD) solver capable of exploiting…
Toward an End-to-End Auto-tuning Framework in HPC PowerStack
Xingfu Wu, Aniruddha Marathe, Siddhartha Jana +7
Efficiently utilizing procured power and optimizing performance of scientific applications under power and energy constraints are challenging. The HPC PowerStack defines a software…