Exploring Volatile FPGAs Potential for Accelerating Energy-Harvesting IoT Applications

Low-power volatile FPGAs (VFPGAs) naturally meet the intertwined processing and flexibility demands of IoT devices. However, as IoT devices shift toward Energy Harvesting (EH) for self-sustained operation, VFPGAs are overlooked because they struggle under harvested power. Their volatile SRAM configuration memory cells frequently lose their data, causing high reconfiguration penalties. These penalties grow with FPGAs' resource usage, limiting it under EH. Still, advances in low-power FPGAs and energy-buffering systems' efficiency motivate us to explore EH-powered FPGAs. Thus, we analyze the interplay of their resources, performance, and reconfiguration; simulate their operation under different EH conditions; and show how they can be utilized up to an application- and EH-dependent threshold.

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Publication Details

Journal
IEEE Computer Architecture Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lca.2025.3563105
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
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article

Exploring Volatile FPGAs Potential for Accelerating Energy-Harvesting IoT Applications

Koji Inoue, Aalaa M.A. Babai
IEEE Computer Architecture Letters
Energy Harvesting in Wireless Networks
article

Exploring Volatile FPGAs Potential for Accelerating Energy-Harvesting IoT Applications

Koji Inoue, Aalaa M.A. Babai
article en

Abstract

Low-power volatile FPGAs (VFPGAs) naturally meet the intertwined processing and flexibility demands of IoT devices. However, as IoT devices shift toward Energy Harvesting (EH) for self-sustained operation, VFPGAs are overlooked because they struggle under harvested power. Their volatile SRAM configuration memory cells frequently lose their data, causing high reconfiguration penalties. These penalties grow with FPGAs' resource usage, limiting it under EH. Still, advances in low-power FPGAs and energy-buffering systems' efficiency motivate us to explore EH-powered FPGAs. Thus, we analyze the interplay of their resources, performance, and reconfiguration; simulate their operation under different EH conditions; and show how they can be utilized up to an application- and EH-dependent threshold.

IEEE Computer Architecture LettersVol. 24(1)
Kyushu University (JP)
Affordable and clean energy
Openalex Percentile: Top 94%
Energy Harvesting in Wireless Networks
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