BASE: TalTech's HPC Infrastructure 2020--2024
Year: 2025
Type: report
Abstract: Technical description of TalTech's HPC infrastructure. Many scientific and engineering disciplines are now relying on or are supplemented by large scale numerical simulations or data analysis. These fields include physics, chemistry, CFD, climate and ocean modeling, pollution transport, virus spreading, building modeling and training for deep learning and big data analysis. This requires access to suitable high performace, high throughput or parallel computing environments.Some of these fields can largely benefit from data parallel architectures like GPUs, others are better suited for regular CPUs.TalTech's HPC center provides a heterogeneous environment suitable for diverse applications.
Source: TalTechData
DOI: 10.48726/zf23z-8ba50
Authors: Herrmann, Heiko, Kaevand, Toomas, Anton, Lauri
Institution: Tallinn University of Technology
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6891975920