Processor Load Atomicity Segmentation for TSO Memory Ordering
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Solution Overview
Problem
Existing processors face performance bottlenecks due to stricter memory ordering models, particularly Total Store Ordering (TSO), when executing multiple register loads and vector loads, as they often require all bytes to be sourced from a single source, leading to slower execution and potential incorrect order observations.
Innovation Solution
Implementing a smaller atomicity size than the operation size for memory consistency order, specifically for multiple register loads and vector loads, ensuring each atomic element is sourced from a single source before completion, thereby allowing out-of-order execution without violating TSO.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a processor executes multiple register loads or vector loads with large operation size, then the operation can process more data in parallel, but it becomes less likely to obtain all bytes from a single source, requiring slower execution to maintain atomicity for stricter ordering models
Solution Approach 1:
The patent segments the atomicity requirement into smaller units by introducing an atomicity size parameter that is independent of the operation size. For multiple register loads and vector loads, the atomicity size can be smaller than the total operation size, allowing the operation to be divided into smaller atomic elements that can be sourced independently from different sources while still maintaining memory consistency guarantees.
Solution Approach 2:
The patent changes the parameter of atomicity size from being fixed to being configurable and instruction-specific. By allowing the atomicity size to differ from the operation size, the system can optimize performance for different types of load operations while maintaining correctness for stricter ordering models like TSO.
2Reliability
If the processor enforces that all bytes of a load operation must be sourced from a single source to maintain TSO, then memory consistency is guaranteed, but performance suffers due to slower execution and potential retries
Solution Approach 1:
The patent segments the atomicity requirement into smaller units by introducing an atomicity size parameter that is independent of the operation size. For multiple register loads and vector loads, the atomicity size can be smaller than the total operation size, allowing the operation to be divided into smaller atomic elements that can be sourced independently from different sources while still maintaining memory consistency guarantees.
Solution Approach 2:
The patent changes the parameter of atomicity size from being fixed to being configurable and instruction-specific. By allowing the atomicity size to differ from the operation size, the system can optimize performance for different types of load operations while maintaining correctness for stricter ordering models like TSO.
3Productivity
If the processor uses a smaller atomicity size than operation size for multiple register loads and vector loads, then loads can complete without retries or flushes improving performance, but it becomes more complex to track and verify single-source requirements for each atomic element
Solution Approach 1:
The patent segments the atomicity requirement into smaller units by introducing an atomicity size parameter that is independent of the operation size. For multiple register loads and vector loads, the atomicity size can be smaller than the total operation size, allowing the operation to be divided into smaller atomic elements that can be sourced independently from different sources while still maintaining memory consistency guarantees.
Solution Approach 2:
The patent introduces an intermediary mechanism in the load/store unit that automatically tracks and verifies the source of each atomic element. This intermediary structure manages the complexity of tracking multiple sources for different atomic elements within a single load operation, offloading the verification burden from the control logic.
Data Source
AI summary
In an embodiment, a processor implements a different atomicity size (for memory consistency order) than the operation size. More particularly, the processor may implement a smaller atomicity size than the operation size. For example, for multiple register loads, the atomicity size may be the register size. In another example, the vector element size may be the atomicity size for vector load instructions. In yet another example, multiple contiguous vector elements, but fewer than all the vector elements in a vector register, may be the atomicity size for vector load instructions.


