Home Staff Members

Design of Efficient TLB-based Data Classification Mechanisms in Chip Multiprocessors

Hits:
Research Area: Processor Architecture
Status: Finished Degree: Bachelor
Directors: Students:
Proposed start date: 2013-07-01 Proposed end date: 2017-07-01
Digital version
Description:

This thesis introduces a page classification approach based on inspecting other core’s TLBs upon every TLB miss. In particular, the proposed classification approach is based on exchange and count of tokens. Token counting on TLBs is a natural and efficient way for classifying memory pages. It does not require the use of complex and undesirable persistent requests or arbitration, since when two or more TLBs race for accessing a page, tokens are appropriately distributed classifying the page as shared.

Sponsors

Banner
Banner
Banner
Banner
Banner
Banner
Banner