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Georgia Institute of Technology

Intelligent cache management for heterogeneous memory systems

Abstract

dc:description.abstract

DRAM caches are important for enabling effective heterogeneous memory systems that can transparently provide the bandwidth of high-bandwidth memories and the capacity of high-capacity memories. This dissertation investigates enabling intelligent cache management for tag-inside-cacheline DRAM cache designs. Such a DRAM cache uses a direct-mapped design, co-locates the tag and data within the DRAM array, and streams out the tag and the data concurrently on an access. The direct-mapped design has been shown to be effective for enabling low latency and bandwidth-efficient tag access. However, such a direct-mapped design can have lower hit-rate and high bandwidth cost to confirm misses. This dissertation investigates simple architectural techniques to improve the hit-rate and bandwidth consumption of such DRAM caches by enabling associativity, replacement policies, and reduced miss probes at low bandwidth cost to improve the performance of heterogeneous memory systems.

Degree

thesis:*
Level thesis:degree_level
Doctoral
Department dc:contributor.department
Electrical and Computer Engineering
Grantor dc:publisher
Georgia Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Young, Vinson
Advisor dc:contributor.advisor
  • Qureshi, Moinuddin K.
Committee members dc:contributor.committeemember
  • Kim, Hyesoon
  • Jaleel, Aamer
  • Prvulovic, Milos

Subjects

dc:subject × 10

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1853/61710
OAI identifier oai:identifier
oai:repository.gatech.edu:1853/61710

Chain of custody

source
Harvested from
Georgia Tech
Base URL
repository.gatech.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Young, Vinson. Intelligent cache management for heterogeneous memory systems. Doctoral thesis, Georgia Institute of Technology, 2019. http://hdl.handle.net/1853/61710