AI-based energy carbon data intelligent calculation operation system
By allocating non-paged contiguous physical space in memory and optimizing memory access paths, the problems of processor power consumption and cache invalidation in ultra-large-scale data processing are solved, achieving efficient processing and computational determinism of heterogeneous data streams.
Patent Information
- Application Number
- CN202610602954.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-06
- Publication Date
- 2026-06-02
- Estimated Expiration
- 2046-05-06
AI Technical Summary
In ultra-large-scale data processing scenarios, the high-frequency and highly mutable data characteristics in existing technologies conflict with the general kernel scheduling mechanism, resulting in processor computing power loss, cache failure and bus congestion, making it difficult to achieve efficient processing of heterogeneous data streams.
The energy carbon tensor management module allocates a non-paged contiguous physical space in memory. Combined with the bypass scheduling module and the mapping processing module, it monitors the data exchange frequency in real time and shields hardware interrupts through physical mirror multi-projection mapping and page table alias redirection path, optimizes memory access path, and avoids frequent context switching and cache consistency probe signals.
It enables efficient processing of heterogeneous data streams while avoiding state observation overhead, ensuring the determinism and continuity of computation, and reducing processing latency and resource consumption.