Interleave Set Aware Object Allocation for NVDIMM Memory
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Solution Overview
Problem
Existing memory systems, particularly those using non-volatile dual inline memory modules (NVDIMMs), face performance bottlenecks due to uneven loading across memory channels, leading to suboptimal performance in key-value stores and database applications, as current memory management techniques do not effectively optimize memory alignment and interleave set utilization.
Innovation Solution
Implementing a logic system that identifies a common object structure and allocates objects across multiple memory channels based on interleave set information, including alignment field optimization and padding to ensure even loading across channels, thereby improving memory access efficiency through multi-threaded, prefetch, and vector instruction access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If memory addresses are spread across multiple memory banks using interleaved memory, then memory bandwidth and parallel access capability are improved, but memory channel loading becomes uneven leading to performance bottlenecks
Solution Approach 1:
The patent applies local quality by making the memory allocation behavior specific to different object types and access patterns. The memory manager identifies common object structures and allocates them to specific interleave sets based on their access characteristics, rather than using a uniform allocation strategy for all objects. This localized optimization ensures that frequently accessed objects are placed in memory channels that can handle high throughput, while less critical objects use other channels, thereby balancing the loading across all memory channels while maintaining high overall bandwidth utilization.
Solution Approach 2:
The patent changes the allocation parameters by considering interleave set information and object structure characteristics together. Instead of using fixed or simple round-robin allocation, the system dynamically determines allocation parameters based on the object's common structure properties and the current state of memory channels. This parameter adaptation allows the system to optimize for both bandwidth utilization and loading balance under different workloads.
2Device complexity
If current memory management techniques are used without interleave set awareness, then implementation simplicity is maintained, but memory access efficiency and performance in key-value stores and database applications deteriorate
Solution Approach 1:
The patent applies preliminary action by pre-identifying common object structures and pre-determining their optimal interleave set allocations. The memory manager analyzes object structures in advance and creates allocation rules for different object types before actual memory access occurs. This preliminary classification and allocation strategy eliminates the need for complex runtime decisions, maintaining implementation simplicity while significantly improving memory access efficiency for key-value stores and database applications.
3Speed
If objects are allocated without considering alignment fields and padding, then allocation speed is maintained, but memory channel loading becomes uneven reducing overall system performance
Solution Approach 1:
The patent applies self-service by enabling the memory allocation system to automatically identify alignment fields within object structures and self-adjust the allocation to achieve proper padding and alignment. The memory manager examines object structures, identifies alignment requirements, and autonomously determines the optimal interleave set assignments without requiring external intervention or complex manual configuration. This self-service approach maintains allocation speed while ensuring even memory channel loading and optimal system performance.
Data Source
AI summary
An embodiment of a semiconductor apparatus may include technology to identify a group of objects based on a common object structure, and allocate the group of objects to two or more memory channels based on interleave set information. Other embodiments are disclosed and claimed.