University of Illinois Urbana-Champaign

Automating heterogeneous memory management

Brooks, Alex

Content Files
BROOKS-DISSERTATION-2019.pdf

Permalink

https://hdl.handle.net/2142/106362

Description

Title
Automating heterogeneous memory management
Author(s)
Brooks, Alex
Issue Date
2019-12-03
Director of Research (if dissertation) or Advisor (if thesis)
Snir, Marc
Doctoral Committee Chair(s)
Snir, Marc
Committee Member(s)
  • Olson, Luke N
  • Garzaran, Maria
  • Scogland, Thomas R. W.
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Date of Ingest
2020-03-02T22:15:03Z
Keyword(s)
  • heterogeneous
  • memory
  • system
  • automated
  • analysis
  • profiling
  • framework
  • access
  • patterns
  • latency
  • bandwidth
Abstract
Hardware heterogeneity is becoming an increasingly common feature in high-performance computing systems. Unfortunately, while these systems may offer new technologies in memory and computation, the general trend of memory performance is falling behind. With the added complexities of heterogeneous systems, achieving good memory performance is now becoming more difficult. Since different memory technologies exhibit various performance characteristics, careful memory management is required to consider tradeoffs in latency, bandwidth, capacity, and power. Application behavior, including data access patterns, data sizes, and operation types can indicate which characteristics limit the performance of an operation. However, understanding this information and using it to perform optimizations can be a difficult task. We expect this problem to become increasingly prevelent as the memory stack continues to change and expand. In this dissertation we present a solution to managing memory for these heterogeneous systems in an automated manner. We demonstrate its use on several applications and machine types, showcasing the benefit, flexibility, and expandability of the framework.
Graduation Semester
2019-12
Type of Resource
text
Permalink
http://hdl.handle.net/2142/106362
Copyright and License Information
Copyright 2019 Alex Brooks

Owning Collections

Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at Illinois
Dissertations and Theses - Computer Science
Dissertations and Theses from the Siebel School of Computer Science