121 citations · 775 across the 27 of their papers we have counts for
6 papers · 1 filter
Early Experience on Using Knights Landing Processors for Lattice Boltzmann Applications
Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano +1
The Knights Landing (KNL) is the codename for the latest generation of Intel processors based on Intel Many Integrated Core (MIC) architecture. It relies on massive thread and data…
Energy-efficiency evaluation of Intel KNL for HPC workloads
E. Calore, A. Gabbana, S. F. Schifano +1
Energy consumption is increasingly becoming a limiting factor to the design of faster large-scale parallel systems, and development of energy-efficient and energy-aware application…
Optimization of Lattice Boltzmann Simulations on Heterogeneous Computers
E. Calore, A. Gabbana, S. F. Schifano +1
High-performance computing systems are more and more often based on accelerators. Computing applications targeting those systems often follow a host-driven approach in which hosts…
Evaluation of DVFS techniques on modern HPC processors and accelerators for energy-aware applications
Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano +1
Energy efficiency is becoming increasingly important for computing systems, in particular for large scale HPC facilities. In this work we evaluate, from an user perspective, the us…
Performance and Portability of Accelerated Lattice Boltzmann Applications with OpenACC
E. Calore, A. Gabbana, J. Kraus +2
An increasingly large number of HPC systems rely on heterogeneous architectures combining traditional multi-core CPUs with power efficient accelerators. Designing efficient applica…
Massively parallel lattice-Boltzmann codes on large GPU clusters
E. Calore, A. Gabbana, J. Kraus +3
This paper describes a massively parallel code for a state-of-the art thermal lattice- Boltzmann method. Our code has been carefully optimized for performance on one GPU and to hav…