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China Mobile released the first domestic intelligent computing cross-architecture platform: computing native "core integration"

2025-02-25 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >

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Shulou(Shulou.com)11/24 Report--

Thanks to CTOnews.com netizens for the delivery of clues about the past. CTOnews.com, October 12, October 12, during the China Mobile Global partner Conference, China Mobile, together with 13 industrial partners, jointly released the first domestic platform to support one-click cross-architecture migration of intelligent computing applications-computing native "core".

According to reports, the achievement of independent innovation is expected to solve the global intelligent computing ecological development problem of AI application cross-architecture deployment and migration, and can achieve "application development and cross-core deployment migration", significantly reducing the migration cost and complexity of AI applications to domestic chips.

CTOnews.com learned that China Mobile United Industry took the lead in putting forward the original computing technology in 2022 and launched the "Core Integration" program in 2023 to carry out the research and development of the "Core Integration" computing platform.

The released "core integration" computing native platform provides a cross-architecture one-stop solution based on four self-developed core components, in which the unified programming suite constructs a standard development environment based on a unified programming model, shielding the paradigm differences of heterogeneous programming models and enabling consistent development experience in heterogeneous environments. The source converter realizes the one-click translation of other coding models to the unified programming model, with a translation rate of more than 90%. Cross-architecture compiler innovation enables the compilation and optimization of intelligence graph model and general computing code. and through a compilation to generate a cross-platform mutual understanding and unified flow file without feeling the heterogeneous hardware. The adaptive runtime establishes unified computing abstraction for multi-vendor runtimes and supports real-time mutual mapping between computing tasks and heterogeneous computing resources.

It is reported that the current "core integration" platform has realized one-click deployment and real-time migration of typical smart computing applications such as image processing and video analysis between the three smart chips, with a migration rate of less than 10 seconds and a performance loss of less than 15%. Preliminary commercial conditions.

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