Co-operative JIT Compilation for Resource-Constrained Low-Power Coprocessors

As IoT devices evolve, their microcontroller systems-on-a-chip (SoCs) require higher performance, larger memory, and richer peripherals, resulting in increased power consumption. Integrating low-power (LP) coprocessors into SoCs offers a means to reduce power usage while preserving responsiveness, particularly in sensing tasks. However, LP coprocessors face memory capacity limitations and require complex, platform-specific development. These constraints often necessitate application refactoring and careful coordination of inter-processor communication.

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Published
2025-10-09
DOI
https://doi.org/10.1145/3759426.3760980
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Co-operative JIT Compilation for Resource-Constrained Low-Power Coprocessors

Sosuke Moriguchi, Go Suzuki, Takuo Watanabe
Parallel Computing and Optimization Techniques
article

Co-operative JIT Compilation for Resource-Constrained Low-Power Coprocessors

Sosuke Moriguchi, Go Suzuki, Takuo Watanabe
article en

Abstract

As IoT devices evolve, their microcontroller systems-on-a-chip (SoCs) require higher performance, larger memory, and richer peripherals, resulting in increased power consumption. Integrating low-power (LP) coprocessors into SoCs offers a means to reduce power usage while preserving responsiveness, particularly in sensing tasks. However, LP coprocessors face memory capacity limitations and require complex, platform-specific development. These constraints often necessitate application refactoring and careful coordination of inter-processor communication.

Institute of Science Tokyo (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 69%
Parallel Computing and Optimization Techniques
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