Automating heterogeneous memory management

Brooks, Alex

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

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

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

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

Copyright and License Information

Copyright 2019 Alex Brooks

Owning Collections