The supercomputer consists of clusters of Nvidis Tegra K1 mobile processors connected using IDT’s RapidIO interconnect and timing chips.
“By taking mobile low-power GPU technology and connecting it with 100ns latency RapidIO interconnect, this modular cluster can be deployed to distribute high-performance compute functionality to the edge of the wireless network, where it is most geographically sensitive,” said Jag Bolaria of the Linley Group.
“The innovation paves the path for co-locating real-time deployable analytics in the approximately two million base stations deployed annually in wireless networks.”
It is proposed that by installing hardware at basestations along the edge of the network it will be possible for faster analysis of locally generated data, such as social media content.
This is seen as one way of addressing the Big Data problem in mobile networks.
The data analysis is conducted at local basestations rather than in a central location, removing the bottleneck between the base station and the core of the network.
The supercomputer uses IDTís 20Gbit/s interface devices to connect a low-latency cluster of Nvidia Tegra K1 mobile processors.
It’s suitable for micro base station deployment along with larger computing clusters in the C-RAN cellular network architecture. Each computing card is based on connecting up to 4 GPU units per processing card connected with RapidIO low-latency NIC and switching products on board.
The platform, which can support up to 12 teraflops per IU RapidIO server blade, is based on servers from Prodrive Technologies and computing cards from Concurrent Technologies.
Mobile World Congress 2015 takes place in Barcelona 2-5 March
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