Improving the Simulation Performance for Aggregate Programs Through Compiler Plugins

Aggregate Computing is an emerging macropro-gramming paradigm, whose validation is often performed by simulation. In this work, we compare the existing JVM-based toolkits from a performance point of view and show that they can be improved by adopting a different technique for implementing a core part of the semantics, called alignment, based on meta-programming implemented with a compiler plugin.

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Published
2024-10-07
DOI
https://doi.org/10.1109/ds-rt62209.2024.00027
Primary Topic
Parallel Computing and Optimization Techniques
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article
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article

Improving the Simulation Performance for Aggregate Programs Through Compiler Plugins

Angela Cortecchia
Parallel Computing and Optimization Techniques
article

Improving the Simulation Performance for Aggregate Programs Through Compiler Plugins

Angela Cortecchia
article en

Abstract

Aggregate Computing is an emerging macropro-gramming paradigm, whose validation is often performed by simulation. In this work, we compare the existing JVM-based toolkits from a performance point of view and show that they can be improved by adopting a different technique for implementing a core part of the semantics, called alignment, based on meta-programming implemented with a compiler plugin.

University of Bologna (IT)
Openalex Percentile: Top 68%
Parallel Computing and Optimization Techniques
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Improving the Simulation Performance for Aggregate Programs Through Compiler Plugins — Angela Cortecchia · (2024) | TGRS Research Map | TGRS