Power-aware Computing for Multi-Agent systems

Vaenthan Thiruvarudchelvan; Terence Bossomaier

doi:10.1109/ALIFE.2011.5954668

Power-aware Computing for Multi-Agent systems

Vaenthan Thiruvarudchelvan, Terence Bossomaier

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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Abstract

Agent-based modelling is becoming a common technique for studying complex phenomenon in diverse fields including sociology, economics and biology. This technique is assisted by the continuing exponential and pervasive growth in computing power. In recent years, engineering limits on processor speed have spurred focus on multi-core processing as a means of continuing this growth. In order to harness this computing power, however, careful concurrent programming is required to develop multi-threaded applications. Furthermore, the power consumed by systems has come under increasing scrutiny from the standpoints of thermal capacity, energy availability, and sustainability. We investigated two schemes for reducing simulation power demands using The Game of Life as a representative simulation: a) event-driven computation and b) dynamic frequency scaling in multi-threaded rate-limited applications. Both schemes were found to significantly improve energy efficiency. Both event-driven and parallelized computation are central to the low power usage of biological computation compared to silicon.

Original language	English
Title of host publication	2011 IEEE Symposium on Artificial Life (ALIFE) Proceedings
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	38-45
Number of pages	8
ISBN (Electronic)	9781612840635
DOIs	https://doi.org/10.1109/ALIFE.2011.5954668
Publication status	Published - 2011
Event	2011 IEEE Symposium on Artificial Life (ALIFE) - Paris, France, Paris, France Duration: 11 Apr 2011 → 15 Apr 2011

Publication series

Name
ISSN (Print)	2160-6374

Conference

Conference	2011 IEEE Symposium on Artificial Life (ALIFE)
Country	France
City	Paris
Period	11/04/11 → 15/04/11
Other	The Third International IEEE Symposium on Artificial Life (IEEE ALIFE 2011) held for the first time in Europe, in the intellectual, cultural and scientific cauldron of Paris, brings together researchers working on the emerging areas of Artificial Life and Complex Adaptive Systems, aiming to understand and synthesize life-like systems and applying bio-inspired synthetic methods to other science/engineering disciplines, including Biology, Robotics, Social Sciences, among others.

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

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title = "Power-aware Computing for Multi-Agent systems",

abstract = "Agent-based modelling is becoming a common technique for studying complex phenomenon in diverse fields including sociology, economics and biology. This technique is assisted by the continuing exponential and pervasive growth in computing power. In recent years, engineering limits on processor speed have spurred focus on multi-core processing as a means of continuing this growth. In order to harness this computing power, however, careful concurrent programming is required to develop multi-threaded applications. Furthermore, the power consumed by systems has come under increasing scrutiny from the standpoints of thermal capacity, energy availability, and sustainability. We investigated two schemes for reducing simulation power demands using The Game of Life as a representative simulation: a) event-driven computation and b) dynamic frequency scaling in multi-threaded rate-limited applications. Both schemes were found to significantly improve energy efficiency. Both event-driven and parallelized computation are central to the low power usage of biological computation compared to silicon.",

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AB - Agent-based modelling is becoming a common technique for studying complex phenomenon in diverse fields including sociology, economics and biology. This technique is assisted by the continuing exponential and pervasive growth in computing power. In recent years, engineering limits on processor speed have spurred focus on multi-core processing as a means of continuing this growth. In order to harness this computing power, however, careful concurrent programming is required to develop multi-threaded applications. Furthermore, the power consumed by systems has come under increasing scrutiny from the standpoints of thermal capacity, energy availability, and sustainability. We investigated two schemes for reducing simulation power demands using The Game of Life as a representative simulation: a) event-driven computation and b) dynamic frequency scaling in multi-threaded rate-limited applications. Both schemes were found to significantly improve energy efficiency. Both event-driven and parallelized computation are central to the low power usage of biological computation compared to silicon.

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