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August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
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Efficiency Analysis of Intel and AMD x86_64 Architectures for Ab Initio Calculations: A Case Study of VASP

P. 430–441.
Stegailov V., Vecher V.

Nowadays, the wide spectrum of Intel Xeon processors is available. The new Zen CPU architecture developed by AMD has extended the number of options for x86_64 HPC hardware. This large number of options makes the optimal CPU choice for HPC systems not a straightforward procedure. Such a co-design procedure should follow the requests from the end-users community. Modern computational materials science studies are among the major consumers of HPC resources worldwide. The VASP code is perhaps the most popular tool for these research. In this work, we discuss the benchmark metric and results based on a VASP test model that give us the possibility to compare different CPUs and to select best options with respect to time-to-solution and energy-to-solution criteria.

Language: English
DOI
Text on another site
Keywords: benchmarkinghardware parallel computingVASPmemory wall

In book

Communications in Computer and Information Science
Book 793: Supercomputing. , Switzerland: Springer, 2017.
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