TLB Mapping via Memory Segmentation
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Solution Overview
Problem
Conventional systems experience frequent Translation Lookaside Buffer (TLB) faults due to limited TLB size, which leads to costly exceptions as they cannot accommodate all virtual pages, resulting in performance degradation.
Innovation Solution
The method involves allocating memory for processes from contiguous physical memory spaces, mapping these segments efficiently within the TLB to minimize the number of pages required, thereby reducing TLB faults by ensuring all pages fit within the TLB.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional systems allocate memory dynamically for each process, then memory utilization is flexible, but TLB faults increase due to memory fragmentation
Solution Approach 1:
The patent divides the process memory space into distinct segments (e.g., code segment, data segment, stack segment) and maps each segment to a separate contiguous physical memory region. This segmentation allows the TLB to cache translations for each segment independently, reducing the overall number of TLB entries needed while maintaining flexible memory allocation for each segment type.
Solution Approach 2:
The patent introduces a new dimension to memory management by organizing memory translations not just by virtual page numbers but by memory segments. This segment-based organization creates an additional layer of abstraction that reduces the dimensionality of the translation problem, allowing fewer TLB entries to cover the same address space.
2Reliability
If TLB size is increased to accommodate all virtual pages, then TLB faults are reduced, but device complexity and memory management overhead increase
Solution Approach 1:
By segmenting the address space into distinct memory regions (code, data, stack, heap), the patent reduces the total number of pages that need to be tracked in the TLB. Each segment is mapped to a contiguous physical region, allowing the TLB to use fewer entries while maintaining translation accuracy for all process memory.
Solution Approach 2:
The patent implements partial action by only translating and caching the essential memory segments that are actively used by the process, rather than translating every possible virtual page. This selective approach reduces TLB entry requirements while maintaining sufficient translation coverage for normal operation.
3Productivity
If memory is allocated non-sequentially for dynamic processes, then memory utilization efficiency is improved, but the number of pages requiring TLB slots increases
Solution Approach 1:
The patent segments memory allocation into distinct regions (code segment, data segment, stack segment, heap segment) where each segment is allocated from a separate contiguous physical memory space. This segmentation allows non-sequential allocation within segments while maintaining contiguity at the segment level, reducing the total number of pages requiring TLB translation.
Solution Approach 2:
The patent merges multiple virtual pages into contiguous physical memory regions for each segment. By combining pages into larger contiguous blocks and mapping each block as a single TLB entry, the system reduces the number of TLB slots needed while maintaining efficient memory utilization through non-sequential allocation within each merged region.
Data Source
AI summary
In one embodiment, a method includes identifying first and second memory segments associated with a process in virtual memory, allocating memory for the first memory segment from a first contiguous physical memory space, allocating memory for the second memory segment from a second contiguous physical memory space, and mapping the first and second memory segments to the first and second contiguous physical memory spaces in a translation lookaside buffer. Apparatus and logic for memory allocation to minimize translation lookaside buffer faults are also disclosed.