Results 11 to 20 of about 25,273 (241)

Enhancing Energy sector efficiency: A study on supercomputer performance in optimizing energy systems [PDF]

E3S Web of Conferences
The paper discusses the question of how to evaluate actual performance of a supercomputer system, which is expected on solution to real scientific or engineering problem.
Lavrentiev Mikhail, Snytnikov Alexey
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Constructing Neuronal Network Models in Massively Parallel Environments

Frontiers in Neuroinformatics, 2017
Recent advances in the development of data structures to represent spiking neuron network models enable us to exploit the complete memory of petascale computers for a single brain-scale network simulation.
Tammo Ippen, Tammo Ippen, Jochen M. Eppler, Hans E. Plesser, Hans E. Plesser, Hans E. Plesser, Markus Diesmann, Markus Diesmann, Markus Diesmann   +8 more
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Analysis of the development of the SCIT Family Supercomputers in V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine

Кібернетика та комп'ютерні технології, 2023
In 2003 the first testing version of supercomputer in V.M. Glushkov Institute of cybernetics the NAS of Ukraine was created. Since then computing system was constantly developed and turned into supercomputing complex SCIT “Supercomputer for information ...
Nataliia Kravchenko, Andriі Golovynskyi, Andriі Grabowski, Oleksandr Bandura   +3 more
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Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers

Frontiers in Neuroinformatics, 2018
State-of-the-art software tools for neuronal network simulations scale to the largest computing systems available today and enable investigations of large-scale networks of up to 10 % of the human cortex at a resolution of individual neurons and synapses.
Jakob Jordan, Tammo Ippen, Tammo Ippen, Moritz Helias, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Markus Diesmann, Markus Diesmann, Susanne Kunkel, Susanne Kunkel   +12 more
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Smoothing the Boundaries between the Domains of the Surface Computational Mesh

Современные информационные технологии и IT-образование, 2021
For the efficient use of supercomputer computing resources in solving problems of simulation, a high-quality decomposition of the computational meshes is of great importance.
Andrey Bagrov, Alexey Rybakov
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Dense Matrix Multiplication Algorithms and Performance Evaluation of HPCC in 81 Nodes IBM Power 8 Architecture

Computation, 2021
Optimizing HPC systems based on performance factors and bottlenecks is essential for designing an HPC infrastructure with the best characteristics and at a reasonable cost.
Eduardo Patricio Estévez Ruiz, Giovanny Eduardo Caluña Chicaiza, Fabian Rodolfo Jiménez Patiño, Joaquín Cayetano López Lago, Saravana Prakash Thirumuruganandham   +4 more
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Large-Scale Simulation of a Layered Cortical Sheet of Spiking Network Model Using a Tile Partitioning Method

Frontiers in Neuroinformatics, 2019
One of the grand challenges for computational neuroscience and high-performance computing is computer simulation of a human-scale whole brain model with spiking neurons and synaptic plasticity using supercomputers.
Jun Igarashi, Hiroshi Yamaura, Tadashi Yamazaki   +2 more
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Spiking network simulation code for petascale computers

Frontiers in Neuroinformatics, 2014
Brain-scale networks exhibit a breathtaking heterogeneity in the dynamical properties and parameters of their constituents. At cellular resolution, the entities of theory are neurons and synapses and over the past decade researchers have learned to ...
Susanne eKunkel, Susanne eKunkel, Maximilian eSchmidt, Jochen Martin Eppler, Hans Ekkehard Plesser, Hans Ekkehard Plesser, Gen eMasumoto, Jun eIgarashi, Shin eIshii, Tomoki eFukai, Abigail eMorrison, Abigail eMorrison, Abigail eMorrison, Markus eDiesmann, Markus eDiesmann, Markus eDiesmann, Moritz eHelias, Moritz eHelias   +17 more
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Decomposition of a Surface Unstructured Computational Mesh for Scaling Computations on a Supercomputer

Современные информационные технологии и IT-образование, 2020
Currently, when solving complex computational problems of computer modeling, computational grids containing tens and hundreds of millions of cells are used.
Alexey Rybakov, Anton Chopornyak
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Reliability assessment of cluster supercomputer configuration

Весці Нацыянальнай акадэміі навук Беларусі: Серыя фізіка-тэхнічных навук, 2019
The study of reliability indicators was carried out on the example of a cluster supercomputer configuration of “SKIF-GEO” (further cluster) worked out within the framework of the scientific and technical program “SKIF-Nedra” (2015–2018, Program of the ...
L. I. Kulbak, O. P. Tchij, N. N. Paramonov, A. G. Rymarchuk, T. S. Martinovich   +4 more
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