Design Space Exploration and Optimization for Carbon-Efficient Extended Reality Systems
As computing hardware becomes more specialized, designing environmentally sustainable computing systems requires accounting for both hardware and software parameters. Our goal is to design low carbon computing systems while maintaining a competitive level of performance and operational efficiency. D...
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Main Authors | , , , , , , , , , , |
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Format | Journal Article |
Language | English |
Published |
02.05.2023
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Subjects | |
Online Access | Get full text |
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Summary: | As computing hardware becomes more specialized, designing environmentally
sustainable computing systems requires accounting for both hardware and
software parameters. Our goal is to design low carbon computing systems while
maintaining a competitive level of performance and operational efficiency.
Despite previous carbon modeling efforts for computing systems, there is a
distinct lack of holistic design strategies to simultaneously optimize for
carbon, performance, power and energy. In this work, we take a data-driven
approach to characterize the carbon impact (quantified in units of CO2e) of
various artificial intelligence (AI) and extended reality (XR) production-level
hardware and application use-cases. We propose a holistic design exploration
framework to optimize and design for carbon-efficient computing systems and
hardware. Our frameworks identifies significant opportunities for carbon
efficiency improvements in application-specific and general purpose hardware
design and optimization. Using our framework, we demonstrate 10$\times$ carbon
efficiency improvement for specialized AI and XR accelerators (quantified by a
key metric, tCDP: the product of total CO2e and total application execution
time), up to 21% total life cycle carbon savings for existing general-purpose
hardware and applications due to hardware over-provisioning, and up to
7.86$\times$ carbon efficiency improvement using advanced 3D integration
techniques for resource-constrained XR systems. |
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DOI: | 10.48550/arxiv.2305.01831 |