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Magnetar workstation

Manufactured by NVIDIA
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The Magnetar workstation is a high-performance computing platform designed for demanding tasks. It features powerful graphics processing capabilities, advanced cooling systems, and flexible configuration options to meet the needs of a wide range of users.

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Lab products found in correlation

Geforce gtx 980 ti, by NVIDIA (2 mentions)

2 protocols using magnetar workstation

1

Distributed HPC for Swarm Simulations

Check if the same lab product or an alternative is used in the 5 most similar protocols
The VR-environment was hosted on a Dell Alienware 15R3 laptop equipped with a 2.8 GHz Intel i7 core16 Gb of RAM and an Nvidia GeForce GTX 1070 graphics processing unit. The remote computing node was an Armari Magnetar workstation equipped with 20 Intel Xeon processors, 32 Gb of RAM and 4 Nvidia GeForce GTX 980 Ti graphic processing units. Production runs for the swarm of trajectories were performed combining a local cluster and the Archer and Cirrus UKs National HPC facilities.
Juárez-Jiménez J., Tew P., O Connor M., Llabrés S., Sage R., Glowacki D, & Michel J. (2020). Combining Virtual Reality Visualization with Ensemble Molecular Dynamics to Study Complex Protein Conformational Changes. Journal of chemical information and modeling, 60(12).
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2

Distributed HPC for Swarm Simulations

Check if the same lab product or an alternative is used in the 5 most similar protocols
The VR-environment was hosted on a Dell Alienware 15R3 laptop equipped with a 2.8 GHz Intel i7 core16 Gb of RAM and an Nvidia GeForce GTX 1070 graphics processing unit. The remote computing node was an Armari Magnetar workstation equipped with 20 Intel Xeon processors, 32 Gb of RAM and 4 Nvidia GeForce GTX 980 Ti graphic processing units. Production runs for the swarm of trajectories were performed combining a local cluster and the Archer and Cirrus UKs National HPC facilities.
Juárez‐Jiménez J., Tew P., O’Connor M.B., Llabrés S., Sage R., Glowacki D.R., & Michel J. (2020). Combining Virtual Reality Visualization with Ensemble Molecular Dynamics to Study Complex Protein Conformational Changes.
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