The emergence of heterogeneous and many-core architectures presents a
unique opportunity to deliver order of magnitude performance
increases to high performance applications by matching certain classes
of algorithms to specifically tailored architectures. However, their
ubiquitous adoption has been limited by a lack of
programming models and management frameworks designed to reduce the
high degree of complexity of software development inherent to
heterogeneous architectures. This dissertation introduces Harmony, an execution
model for heterogeneous systems that draws heavily from concepts and
optimizations used in processor micro-architecture to provide:
(1) semantics for simplifying heterogeneity management, (2) dynamic scheduling
of compute intensive kernels to heterogeneous processor resources, and
(3) online monitoring driven performance optimization for heterogeneous many
core systems. This work focuses on simplifying development and ensuring binary
portability and scalability across system configurations and sizes.
| Identifer | oai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/42874 |
| Date | 10 November 2011 |
| Creators | Diamos, Gregory Frederick |
| Publisher | Georgia Institute of Technology |
| Source Sets | Georgia Tech Electronic Thesis and Dissertation Archive |
| Detected Language | English |
| Type | Dissertation |
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