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News
May 14, 2026
Resource Race and Green Transition: Three Unexpected Conclusions from Foresight Centres Research on Climate and Poverty
Beneath the surface of green energy—which most people associate with solar panels, electric vehicles, and reduced CO2 emissions—lies a complex web of geopolitical interests, international inequality, and resource constraints. Researchers from the Laboratory for Science and Technology Studies (LST) at the HSE ISSEK Foresight Centre have published a series of articles in leading international journals on hidden and overt conflicts surrounding critically important metals and minerals, as well as related processes in the energy sector.
May 13, 2026
Immersion in Second Language Environment Influences Bilinguals Perception of Emotions
Researchers at the Cognitive Health and Intelligence Centre at the HSE Institute for Cognitive Neuroscience have discovered how bilingual individuals process emotional words in their native (first) and non-native (second) languages. It was found that the link between word meaning and bodily sensations is weaker in a second language than in a first language. However, the more a person is immersed in a language environment, the smaller this difference becomes. The article has been published in Language, Cognition and Neuroscience.
May 12, 2026
‘Any Real-Economy Company Can Use Our Products
The HSE Centre for Financial Research and Data Analytics combines fundamental and applied work, including in areas unique to Russia such as the connection between sentiment in the media and social networks and financial markets. The HSE News Service spoke with the centre’s director, Professor Tamara Teplova, about its work.

 

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Cycle-accurate multi-FPGA platform for accelerated emulation of large on-chip networks

The Journal of Supercomputing. 2024. No. 80. P. 22462–22478.
Romanov A., Lerner A., Amerikanov A.

On-chip networks (NoCs) have become a popular choice for designing large multiprocessor architectures. Software-based emulation is often used to perform the design verifcation. However, if the considered design is sufciently large, softwarebased emulation becomes impractically slow. To avoid this limitation, multi-FPGA emulation was introduced, where multiple interconnected FPGAs collectively emulate a single circuit. The number of external FPGA pins is often insufcient for emulating large network-on-chip designs accurately. As a result, the overall emulation frequency has to be severely limited. We propose a method for accelerating multiFPGA emulation by reducing the amount of data FPGAs need to transmit to each other. To achieve cycle-accurate emulation in the absence of constant transmission latency, synchronous messaging is implemented. The proposed method was tested on a functioning prototype. It is shown that the use of our method for multi-FPGA emulation of large NoC designs can reach several orders.

Research target: Computer Science
Language: English
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DOI
Text on another site
Keywords: communicationnetwork-on-chipon-chip networkmulti-FPGAinter-FPGAhardware emulation
Publication based on the results of:
Research of new classes of circulant graphs and their characteristics for designing networks-on-chip (2024)
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