<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Purpose: with the development of the computer system, there is a higher request to reduce the failure times of Translation Look—aside Buffer and relieve the failure influence, normal solution is deal with TLB failure by software or hardware, it find the page table and then implement the index operation to locate the page want. Method: In order to satisfy the needs of software management method for mapping speed from virtual address to physical address and to expand the size of TLB, our team design a software management method based on balanced binary search tree. Page management is implemented in software management, TLB is managed by operating system based on abstract model, and MMU (memory management unit) is no longer used Unit, our team build a balanced binary tree to search TLB. Result: Binary search tree has the advantage of pruning in the interval search problem under the balanced state. Therefore, searching TLB by this method is conducive to the expansion of TLB capacity, making space for cache and other performance improvement designs on chip and reducing costs. However, the search speed is reduced and some time is sacrificed to free up CPU space. Conclusion: This method can free up CPU design space, also can expand more size of TLB and reduce the cost, its optimization algorithm is worthy of further research.</p></abstract>

Purpose: with the development of the computer system, there is a higher request to reduce the failure times of Translation Look—aside Buffer and relieve the failure influence, normal solution is deal with TLB failure by software or hardware, it find the page table and then implement the index operation to locate the page want. Method: In order to satisfy the needs of software management method for mapping speed from virtual address to physical address and to expand the size of TLB, our team design a software management method based on balanced binary search tree. Page management is implemented in software management, TLB is managed by operating system based on abstract model, and MMU (memory management unit) is no longer used Unit, our team build a balanced binary tree to search TLB. Result: Binary search tree has the advantage of pruning in the interval search problem under the balanced state. Therefore, searching TLB by this method is conducive to the expansion of TLB capacity, making space for cache and other performance improvement designs on chip and reducing costs. However, the search speed is reduced and some time is sacrificed to free up CPU space. Conclusion: This method can free up CPU design space, also can expand more size of TLB and reduce the cost, its optimization algorithm is worthy of further research.

Software TLB Management Method Based on Balanced Binary Tree

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Software TLB Management Method Based on Balanced Binary Tree"}

Purpose: with the development of the computer system, there is a higher request to reduce the failure times of Translation Look—aside Buffer and relieve the...

Software TLB Management Method Based on Balanced Binary Tree

Data publikacji: 11 sty 2021

Zakres stron: 50 - 57

DOI: https://doi.org/10.21307/ijanmc-2020-037

Słowa kluczowe
Component, TLB, Balance Binary Tree, Management of Software

© 2020 Hongyu Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Software TLB Management Method Based on Balanced Binary Tree

Data publikacji: 11 sty 2021

Zakres stron: 50 - 57

DOI: https://doi.org/10.21307/ijanmc-2020-037

Słowa kluczoweComponent, TLB, Balance Binary Tree, Management of Software

© 2020 Hongyu Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
Component, TLB, Balance Binary Tree, Management of Software