here - Stefan-Marr.de

1. Introduction
Chapter 7: Implementation Approaches
This chapter details OMOP implementation strategies. First, it discusses
the OMOP implementation based on program transformation with abstract
syntax trees. Secondly, it describes the implementation in the
RoarVM bytecode interpreter and the chosen optimizations.
Chapter 8: Evaluation – Performance
This chapter evaluates the performance of the OMOP implementations.
Furthermore, it compares the performance of an STM and an actor implementation
based on the OMOP with the performance of their corresponding
ad hoc, i. e., conventional, implementations. To that end, the
chapter first details the methodology used for the performance evaluation.
Second, it assesses the performance of the VMs used for the experiments.
Third, it compares the performance of the ad hoc with the
OMOP-based implementations. Fourth, it evaluates the performance of
different aspects of the OMOP implementation, such as inherent overhead
and the impact of the optimizations. Finally, it compares the absolute
performance of the two OMOP implementations.
Chapter 9: Conclusion and Future Work
The last chapter revisits the dissertation’s problem and thesis statement
to argue that the OMOP is an appropriate unifying substrate for implementing
a wide range of concepts for concurrent and parallel programming
on top of a VM. It summarizes the OMOP as well as this
dissertation’s research contributions. Finally, it discusses the OMOP’s
current limitations and outlines future work. For example, it speculates
how the OMOP could be supported on VMs with statically typed languages,
and how just-in-time compilation could improve performance.
1.5. Supporting Publications and Technical
Contributions
A number of publications, exploratory activities, and technical contributions
directly support this dissertation. This section discusses them briefly to highlight
their relevance to this work.
Main Idea The main idea, i. e., the design of an ownership-base MOP and
initial experiments were presented at TOOLS’12 [Marr and D’Hondt, 2012].
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