Coding for Phase Change Memory Performance Optimization

dc.contributor.advisorKoushanfar, Farinaz
dc.contributor.committeeMemberBaraniuk, Richard G.
dc.contributor.committeeMemberAazhang, Behnaam
dc.creatorMirhoseini, Azalia
dc.date.accessioned2012-09-06T04:31:06Z
dc.date.accessioned2012-09-06T04:31:07Z
dc.date.available2012-09-06T04:31:06Z
dc.date.available2012-09-06T04:31:07Z
dc.date.created2012-05
dc.date.issued2012-09-05
dc.date.submittedMay 2012
dc.date.updated2012-09-06T04:31:07Z
dc.description.abstractOver the past several decades, memory technologies have exploited continual scaling of CMOS to drastically improve performance and cost. Unfortunately, charge-based memories become unreliable beyond 20 nm feature sizes. A promising alternative is Phase-Change-Memory (PCM) which leverages scalable resistive thermal mechanisms. To realize PCM's potential, a number of challenges, including the limited wear-endurance and costly writes, need to be addressed. This thesis introduces novel methodologies for encoding data on PCM which exploit asymmetries in read/write performance to minimize memory's wear/energy consumption. First, we map the problem to a distance-based graph clustering problem and prove it is NP-hard. Next, we propose two different approaches: an optimal solution based on Integer-Linear-Programming, and an approximately-optimal solution based on Dynamic-Programming. Our methods target both single-level and multi-level cell PCM and provide further optimizations for stochastically-distributed data. We devise a low overhead hardware architecture for the encoder. Evaluations demonstrate significant performance gains of our framework.
dc.format.mimetypeapplication/pdf
dc.identifier.citationMirhoseini, Azalia. "Coding for Phase Change Memory Performance Optimization." (2012) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/64682">https://hdl.handle.net/1911/64682</a>.
dc.identifier.slug123456789/ETD-2012-05-151
dc.identifier.urihttps://hdl.handle.net/1911/64682
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectPhase change memory
dc.subjectCoding
dc.subjectEnergy optimization
dc.titleCoding for Phase Change Memory Performance Optimization
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
MIRHOSEINI-THESIS.pdf
Size:
404.88 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.61 KB
Format:
Item-specific license agreed upon to submission
Description: