Results 41 to 50 of about 121,264 (366)
Frontiers in Neuroinformatics, 2015 Contemporary simulators for networks of point and few-compartment model neurons come with a plethora of ready-to-use neuron and synapse models and support complex network topologies.
Jan eHahne +6 more
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Log Analysis-Based Resource and Execution Time Improvement in HPC: A Case Study
Applied Sciences, 2020 High-performance computing (HPC) uses many distributed computing resources to solve large computational science problems through parallel computation. Such an approach can reduce overall job execution time and increase the capacity of solving large-scale
JunWeon Yoon +4 more
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Supercomputers ready for use as discovery machines for neuroscience
Frontiers in Neuroinformatics, 2012 NEST is a widely used tool to simulate biological spiking neural networks. Here we explain theimprovements, guided by a mathematical model of memory consumption, that enable us to exploitfor the first time the computational power of the K supercomputer ...
Moritz eHelias +13 more
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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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Supercomputer Lomonosov-2: Large Scale, Deep Monitoring and Fine Analytics for the User Community
Supercomputing Frontiers and Innovations, 2019 The huge number of hardware and software components, together with a large number of parameters affecting the performance of each parallel application, makes ensuring the efficiency of a large scale supercomputer extremely difficult.
V. Voevodin +8 more
semanticscholar +1 more source
ParaFPGA 2011 : high performance computing with multiple FPGAs : design, methodology and applications [PDF]
, 2012 ParaFPGA 2011 marks the third mini-symposium devoted to the methodology, design and implementation of parallel applications using FPGAs. The focus of the contributions is mainly on organizing parallel applications in multiple FPGAs.
D'Hollander, Erik +2 more
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Supercomputers in the classroom [PDF]
Computers in Physics, 1989 A user interface to a particle simulation program on a supercomputer has been developed which allows students with no previous experience with computers to successfully run numerically intensive computer experiments. Large complex plasma simulations can then be used as a tool in the classroom to test the students’ understanding of the theoretical ...
J. F. Slottow, V. K. Decyk
openaire +2 more sources
BOSS-LDG: A Novel Computational Framework that Brings Together Blue Waters, Open Science Grid, Shifter and the LIGO Data Grid to Accelerate Gravitational Wave Discovery [PDF]
, 2017 We present a novel computational framework that connects Blue Waters, the NSF-supported, leadership-class supercomputer operated by NCSA, to the Laser Interferometer Gravitational-Wave Observatory (LIGO) Data Grid via Open Science Grid technology.
Anderson, Stuart +11 more
core +2 more sources
The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code
Frontiers in Neuroinformatics, 2017 NEST is a simulator for spiking neuronal networks that commits to a general purpose approach: It allows for high flexibility in the design of network models, and its applications range from small-scale simulations on laptops to brain-scale simulations on
Susanne Kunkel +3 more
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Meeting the memory challenges of brain-scale network simulation
Frontiers in Neuroinformatics, 2012 The development of high-performance simulation software is crucial for studying the brain connectome. Using connectome data to generate neurocomputational models requires software capable of coping with models on a variety of scales: from the microscale,
Susanne eKunkel +13 more
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