PROJECT TITLE :

Data Remapping for Static NUCA in Degradable Chip Multiprocessors

ABSTRACT:

In chip multiprocessors (CMPs), nonuniform cache architecture (NUCA) is usually employed to prepare last-level cache (LLC) banks through network-on-chip (NoC). As a result of of the shrinking feature size and unstable operating environment, severe reliability problems unavoidably emerge and cause frequent on-chip component (e.g., cores, cache banks, routers) failures. Typical fault-tolerant CMPs ought to possess the feature of sleek degradation and operate normally with deactivated tiles. However, for CMPs adopting static NUCA, sure physical address areas will become inaccessible when cache banks in a very CMP node are isolated from the system. To safeguard cache from such threats induced by either on-line or offline faults, we tend to survey many potential solutions and propose the utility-driven node remapping technique by reusing the resources in NoC. In our NoC-assisted remapping theme, cache accesses to isolated banks are therefore redirected that cache space contention are successfully balanced and relieved in shared-LLC, thus guaranteeing the smallest amount performance penalty caused by fault isolation. Our experimental results show significant performance improvement over standard resizing approaches like set reduction.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Systematic Analysis of Fine-Grained Mobility Prediction with On-Device Contextual Data ABSTRACT: The concept of predicting the mobility of users is widely discussed within the research community. Numerous studies
PROJECT TITLE : Objective-Variable Tour Planning for Mobile Data Collection in Partitioned Sensor Networks ABSTRACT: Wireless sensor networks can achieve greater energy efficiency and more even load distribution through the collection
PROJECT TITLE : Location-Flexible Mobile Data Service in Overseas Market ABSTRACT: Mobile network operators, also known as MNOs, are the companies that are responsible for providing wireless data services. These services are based
PROJECT TITLE : Parallel Fractional Hot-Deck Imputation and Variance Estimation for Big Incomplete Data Curing ABSTRACT: The fractional hot-deck imputation, also known as FHDI, is a method for handling multivariate missing data
PROJECT TITLE : Representation Learning from Limited Educational Data with Crowdsourced Labels ABSTRACT: It has been demonstrated that representation learning plays a significant part in the unprecedented success of machine learning

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry