Memory Bullet Magazine Borrowing for Multi-Core Allocation Balance
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Solution Overview
Problem
Existing memory allocation systems face conflicts and inefficiencies when multiple CPU cores simultaneously request memory from a global pool, leading to heavy pressure and potential bottlenecks, resulting in wasted CPU resources and cache line ping-pong.
Innovation Solution
Implement a distributed model where cores can borrow and return magazines with address pointers, maintaining a balance by using a social matrix to manage magazine queues and follow specific borrowing and returning rules to avoid centralization issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a global pool is used for memory allocation among multiple CPU cores, then memory can be shared across cores, but allocation conflicts occur and the system cannot handle requests in parallel
Solution Approach 1:
The global memory pool is segmented into multiple local memory pools, with each CPU core assigned its own local pool. This segmentation eliminates allocation conflicts by allowing each core to independently manage its local pool while maintaining overall system memory sharing capability through controlled borrowing between pools.
2Productivity
If each core has its own local memory pool, then allocation conflicts are avoided, but memory resource utilization becomes unbalanced under heavy load
Solution Approach 1:
A magazine borrowing mechanism is introduced as an intermediary between local memory pools. When a core's local pool exhausts its address pointers, it can borrow magazines (containing address pointers) from other cores' local pools. This mediator enables dynamic resource redistribution while maintaining the benefits of localized allocation.
Solution Approach 2:
The system transitions from static local memory pools to dynamic pools that can adaptively borrow and return magazines based on real-time resource availability and demand. This dynamic adjustment allows the system to maintain balanced resource utilization under varying load conditions while preserving allocation parallelism.
3Adaptability or versatility
If a global pool is used, then memory management is centralized, but this causes heavy pressure and bottlenecks during simultaneous requests
Solution Approach 1:
The centralized global pool management is segmented into distributed local pool management. Each CPU core independently manages its own local memory pool, eliminating the single-point bottleneck. The segmentation reduces system pressure by distributing management responsibilities across multiple independent units while maintaining overall coordination through the magazine borrowing mechanism.
Data Source
AI summary
Techniques collect or shoot memory bullets. Each magazine includes at least one address pointer for at least one memory bullet. Such techniques involve: obtaining memory bullets to be collected or shot; determining whether remaining address pointers in multiple magazines of a first core have a capacity to collect or shoot a memory bullet; and borrowing a magazine as needed from a second core in response to determining that the remaining address pointers in the first core have no capacity to collect or shoot a memory bullet. Such techniques can achieve a balance of magazines among multiple cores, thereby facilitating memory pool allocation.