面向多处理器集群的协同仿真方法和计算机程序产品
By performing semantic-aware modeling and lifecycle simulation on cross-processor data streams, the problem of insufficient data semantics and lifecycle simulation in existing simulation frameworks is solved. This enables high-fidelity simulation of multi-processor collaborative reasoning processes, outputs accurate performance indicators, and supports system design and optimization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- MOXIN ARTIFICIAL INTELLIGENCE TECH (SHENZHEN) CO LTD
- Filing Date
- 2026-03-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing simulation frameworks lack fine-grained modeling of data semantics and lifecycle in multiprocessor systems, resulting in significant discrepancies between simulation results and actual performance, and failing to provide reliable guidance for system design.
By semantically aware modeling cross-processor data flows, the lifecycle behavior of data objects across multiple processors is simulated, including generation, sharing, failure, and reuse. This is combined with global event scheduling to manage timing relationships and integrates multi-level interconnection network transmission modeling and compression-decompression performance evaluation.
It achieves high-fidelity simulation of multi-processor collaborative inference process and outputs accurate performance indicators such as end-to-end latency, throughput, and processor utilization, providing a reliable basis for system design and optimization.
Smart Images
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