China Launches New Homegrown Supercomputer

People walk past a building with a Christmas decoration in Beijing, China December 4, 2023. REUTERS/Tingshu Wang
People walk past a building with a Christmas decoration in Beijing, China December 4, 2023. REUTERS/Tingshu Wang
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China Launches New Homegrown Supercomputer

People walk past a building with a Christmas decoration in Beijing, China December 4, 2023. REUTERS/Tingshu Wang
People walk past a building with a Christmas decoration in Beijing, China December 4, 2023. REUTERS/Tingshu Wang

China unveiled a new domestically developed supercomputing system on Wednesday that state news agency Xinhua said was many times more powerful than a previous version. The supercomputing system called "Tianhe Xingyi", was unveiled by the National Supercomputing Center in Guangzhou, at an industry event in the capital of southern China's Guangdong Province, Xinhua said.
Xinhua did not give more details on the new system's computing power.
But the report cited Lu Yutong, director of the center, as saying that the new computer used domestically designed architecture and has outperformed Tianhe-2, one of China's fastest supercomputers, in capacities such as CPU computing power, networking, storage, and applications.
Tianhe-2 is being developed by the National University of Defense Technology (NUDT) and is hosted at the National Supercomputing Center in Guangzhou, Reuters reported.
Tianhe-2 topped a list of the world's 500 fastest systems for three consecutive years from 2013 but dropped out of the top position in 2016, the year after the US government placed the NUDT on a blacklist that eliminated the university's access to the Intel processors it uses in its supercomputers.
Other prominent Chinese supercomputing systems include Sunway TaihuLight, developed by the National Supercomputing Center in Wuxi, which ranked seventh on the June 2023 list while Tianhe-2 placed tenth.



Paris Olympics Expected to Face 4 Billion Cyber Incidents

A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
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Paris Olympics Expected to Face 4 Billion Cyber Incidents

A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)

As the Paris 2024 Olympic Games approach, cybersecurity officials are bracing for over 4 billion cyber incidents. They are setting up a new centralized cybersecurity center for the Games, supported by advanced intelligence teams and artificial intelligence (AI) models.

Eric Greffier, the technical director for Paris 2024 at Cisco France, told Asharq Al-Awsat that the Tokyo 2020 Games saw around 450 million cyber incidents. He added that the number of incidents expected for Paris is at least ten times higher, requiring a more efficient response.

Greffier explained that a single cybersecurity center allows for better coordination and a faster response to incidents.

This approach has proven effective in other areas, such as banking and the NFL, where his company also handles cybersecurity, he added.

The Extended Detection and Response (XDR) system is central to the company’s security strategy.

Greffier described it as a “comprehensive dashboard” that gathers data from various sources, links events, and automates threat responses.

It offers a complete view of cybersecurity and helps manage threats proactively, he affirmed.

The system covers all aspects of the Olympic Games’ digital security, from network and cloud protection to application security and end-user safety.

In cybersecurity, AI is vital for managing large amounts of data and spotting potential threats. Greffier noted that with 4 billion expected incidents, filtering out irrelevant data is crucial.

The Olympic cybersecurity center uses AI and machine learning to automate threat responses, letting analysts focus on real issues, he explained.

One example is a network analytics tool that monitors traffic to find unusual patterns.

Greffier said that by creating models of normal behavior, the system can detect anomalies that might indicate a potential attack. While this might generate false alarms, it helps ensure that unusual activity is flagged for further review.