EVEREST: A design environment for extreme-scale big data analytics on heterogeneous platforms
C Pilato, S Bohm, F Brocheton… - … , Automation & Test …, 2021 - ieeexplore.ieee.org
High-Performance Big Data Analytics (HPDA) applications are characterized by huge
volumes of distributed and heterogeneous data that require efficient computation for …
volumes of distributed and heterogeneous data that require efficient computation for …
Pegasus: performance engineering for software applications targeting hpc systems
Develo** and optimizing software applications for high performance and energy efficiency
is a very challenging task, even when considering a single target machine. For instance …
is a very challenging task, even when considering a single target machine. For instance …
Source-to-source Programmable Performance Engineering for High-Performance Computing
PM dos Santos Pinto - 2024 - search.proquest.com
In software development, from High-Performance Computing (HPC) to embedded
computing systems, performance and energy consumption are ubiquitous Non-Functional …
computing systems, performance and energy consumption are ubiquitous Non-Functional …
Methodology for Generating Synthetic Time-Dependant Probabilistic Speed Profiles
L Rapant, D Szturcová, M Golasowski… - Advanced Computing and …, 2020 - Springer
Traffic flow management of smart city is one of the most current topics in traffic modeling. We
have developed a method based on traffic routing and reordering that is capable of …
have developed a method based on traffic routing and reordering that is capable of …
[CITATION][C] High Performance Programming Models for Monte Carlo Methods
M Golasowski - 2019 - dspace.vsb.cz
Complexity of modern supercomputers is rising steadily, especially with the introduction of
heterogenous and distributed computing resources. This complexity also affects the …
heterogenous and distributed computing resources. This complexity also affects the …