mlsanityData to 7 Oct 2026

'Zhores' -- Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology

arXiv 1902.07490 ↗First posted 20 Feb 2019cs.DCcited by 23

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Abstract (arXiv)

The Petaflops supercomputer "Zhores" recently launched in the "Center for Computational and Data-Intensive Science and Engineering" (CDISE) of Skolkovo Institute of Science and Technology (Skoltech) opens up new exciting opportunities for scientific discoveries in the institute especially in the areas of data-driven modeling, machine learning and artificial intelligence. This supercomputer utilizes the latest generation of Intel and NVidia processors to provide resources for the most compute intensive tasks of the Skoltech scientists working in digital pharma, predictive analytics, photonics, material science, image processing, plasma physics and many more. Currently it places 6th in the Russian and CIS TOP-50 (2018) supercomputer list. In this article we summarize the cluster properties and discuss the measured performance and usage modes of this scientific instrument in Skoltech.

Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Feb 2019.

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Citing papers per year: 2021: 4; 2022: 9; 2023: 4; 2024: 2; 2025: 2; 2026: 2.

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  1. 2021Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimatescited by 39
  2. 2022Multi-sensor large-scale dataset for multi-view 3D reconstructioncited by 14
  3. 2022A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momentacited by 11
  4. 2021Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentationcited by 9
  5. 2022NPBG++: Accelerating Neural Point-Based Graphicscited by 8
  6. 2021Training Saturation in Layerwise Quantum Approximate Optimisationcited by 6
  7. 2022Multi-NeuS: 3D Head Portraits from Single Image with Neural Implicit Functionscited by 6
  8. 2026CADFS: A Big CAD Program Dataset and Framework for Computer-Aided Design with Large Language Modelscited by 4
  9. 2022Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scanscited by 3
  10. 2024A3D: Does Diffusion Dream about 3D Alignment?cited by 3
  11. 2025SyMuPe: Affective and Controllable Symbolic Music Performancecited by 3
  12. 2023Scalable Batch Acquisition for Deep Bayesian Active Learningcited by 2
11 more
  1. 2022Embedded Ensembles: Infinite Width Limit and Operating Regimescited by 1
  2. 2022Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistencycited by 1
  3. 2022Large-Scale Sequential Learning for Recommender and Engineering Systemscited by 1
  4. 2023PRS: Sharp Feature Priors for Resolution-Free Surface Remeshingcited by 1
  5. 2026PianoCoRe: Combined and Refined Piano MIDI Datasetcited by 1
  6. 2021Can We Use Neural Regularization to Solve Depth Super-Resolution?cited by 0
  7. 2022Information Entropy Initialized Concrete Autoencoder for Optimal Sensor Placement and Reconstruction of Geophysical Fieldscited by 0
  8. 2023Progressive distillation diffusion for raw music generationcited by 0
  9. 2023NeuSD: Surface Completion with Multi-View Text-to-Image Diffusioncited by 0
  10. 2024Suppressing Modulation Instability with Reinforcement Learningcited by 0
  11. 2025An effective control of large systems of active particles: An application to evacuation problemcited by 0