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Virginia Tech

Shared Memory Abstractions for Heterogeneous Multicore Processors

Abstract

dc:description.abstract

We are now seeing diminishing returns from classic single-core processor designs, yet the number of transistors available for a processor is still increasing. Processor architects are therefore experimenting with a variety of multicore processor designs. Heterogeneous multicore processors with Explicitly Managed Memory (EMM) hierarchies are one such experimental design which has the potential for high performance, but at the cost of great programmer effort. EMM processors have cores that are divorced from the normal memory hierarchy, thus the onus is on the programmer to manage locality and parallelism. This dissertation presents the Cellgen source-to-source compiler which moves some of this complexity back into the compiler. Cellgen offers a directive-based programming model with semantics similar to OpenMP for the Cell Broadband Engine, a general-purpose processor with EMM. The compiler implicitly handles locality and parallelism, schedules memory transfers for data parallel regions of code, and provides performance predictions which can be leveraged to make scheduling decisions. We compare this approach to using a software cache, to a different programming model which is task based with explicit data transfers, and to programming the Cell directly using the native SDK. We also present a case study which uses the Cellgen compiler in a comparison across multiple kinds of multicore architectures: heterogeneous, homogeneous and radically data-parallel graphics processors.

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Computer Science
Department dc:contributor.department
Computer Science
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Schneider, Scott
Chair dc:contributor.committeechair
  • Nikolopoulos, Dimitrios S.
Committee members dc:contributor.committeemember
  • Cameron, Kirk W.
  • Back, Godmar V.
  • Andrade, Henrique C. M.
  • Ribbens, Calvin J.

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-12222010-172018
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/30240

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Schneider, Scott. Shared Memory Abstractions for Heterogeneous Multicore Processors. doctoral thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/30240