Unified Data Bus Adapters for Heterogeneous Core Integration
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Solution Overview
Problem
Multi-core processor systems face design inflexibility, scalability issues, and compatibility problems due to the use of different core technologies, leading to inefficiencies and errors in data bus design, which limits performance gain and requires custom designs for each system.
Innovation Solution
A computationally-networked unified data bus architecture that uses data bus adapters to encapsulate, translate, and interpret data between processing domains, allowing for integration of heterogeneous and hybrid cores, and enabling real-time reconfiguration and virtualization, thereby facilitating flexible and efficient data communication across multiple processing domains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional custom data bus design is used for each multi-core system, then design flexibility is improved, but design time and error rate increase
Solution Approach 1:
The patent introduces a unified data bus as an intermediary component that standardizes communication between heterogeneous processing domains. This mediator handles the complexity of interfacing different core technologies, allowing custom design flexibility while reducing actual design time through standardized protocols and automated integration processes.
Solution Approach 2:
The unified data bus provides universal communication capabilities that work across multiple heterogeneous processing domains simultaneously. This multi-functional approach allows a single standardized interface to serve diverse core technologies, eliminating the need for separate custom designs for each system while maintaining adaptability.
2Adaptability or versatility
If heterogeneous cores are integrated in multi-core systems, then functional versatility is improved, but compatibility and efficiency problems worsen
Solution Approach 1:
The unified data bus acts as a mediator that translates and adapts communication protocols between heterogeneous cores. This intermediary layer handles compatibility issues automatically, allowing diverse functional capabilities to coexist reliably through standardized interfacing and protocol conversion.
3Ease of manufacture
If conventional direct-computation mode is used for core collaboration, then implementation simplicity is improved, but performance gain is reduced
Solution Approach 1:
The unified data bus enables dynamic collaboration modes that go beyond conventional direct-computation approaches. It supports adaptive communication patterns, data sharing, and coordinated operations that can dynamically adjust to workload requirements, thereby improving performance while maintaining implementation simplicity through standardized interfaces.
Data Source
AI summary
Embodiments of the present invention provide a computationally-networked unified data bus for a multi-processing domain architecture. Specifically, in a typical embodiment, a unified data bus is provided. A first data bus adapter (e.g., a node) is coupled to the unified data bus (e.g., a link), and a first processing domain is coupled to the first data bus adapter. In general, the first data bus adapter encapsulates, translates, and interprets data communicated between the unified data bus and the first processing domain. In addition, a second data bus adapter (e.g., a node) is coupled to the unified data bus and a second processing domain is coupled to the second data bus adapter. Similar to the first data bus adapter, the second data bus adapter encapsulates, translates, and interprets data communicated between the unified data bus and the second processing domain. Under these embodiments, the first processing domain and the second processing domain can each comprise at least one element selected from a group consisting of: memory input/outputs (I/Os), cache, heterogeneous data buses, and processors. Moreover, the first processing domain and the second processing domain can be selected from a group consisting of a heterogeneous processing domain and a hybrid processing domain.