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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Towards OpenUCX and GPUDirect Technology Support for the Angara Interconnect

P. 591–603.
Timofeev A., Khalilov M., Polyakov D.

Modern supercomputers consist of thousands of GPUs interconnected by high-speed HPC fabric. Angara interconnect supports Remote Direct Memory Access (RDMA) semantic, hence making it promising fabric solution for GPU-based supercomputers with a large amount of high-bandwidth RAM. Within this work we extend Angara interconnect low-level API allowing one transparently register (pin) GPU and user-space memory, hence enabling zero-copy approach and GPUDirect RDMA support. We present our implementation of Angara interconnect support within the state-of-the-art OpenUCX and OpenMPI communication stack. Memcpy function optimized for AMD GPU achieves up to 10×10× bandwidth speed up for medium to large MPI messages. With the help of Rendezvous protocol and our memory registration API the MPI bandwidth is increased by up to 68×

Language: English
DOI
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Keywords: GPUDirect

In book

Supercomputing: 8th Russian Supercomputing Days, RuSCDays 2022, Moscow, Russia, September 26–27, 2022, Revised Selected Papers
Vol. 13708. , Springer, 2022.
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