| ZHONG JIAJUN | M, 2回目発表 | コンピューティング・アーキテクチャ | 中島 康彦, | 林 優一, | 張 任遠, | KAN Yirong, | PHAM HOAI LUAN, | Le Vu Trung Duong |
| 安藤 拓翔 | M, 1回目発表 | コンピューティング・アーキテクチャ | 中島 康彦, | 林 優一, | 張 任遠, | KAN Yirong, | PHAM HOAI LUAN, | Le Vu Trung Duong |
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title: Energy-Efficient Hardware Acceleration of Whisper ASR on a CGLA
abstract: The rise of generative AI for tasks like Automatic Speech Recognition (ASR) has created a critical energy consumption challenge. While ASICs offer high efficiency, they lack the programmability to adapt to evolving algorithms. To address this trade-off, we implement and evaluate Whisper's core computational kernel on the IMAX, a general-purpose Coarse-Grained Linear Arrays (CGLAs) accelerator. To our knowledge, this is the first work to execute a Whisper kernel on a CGRA and compare its performance against CPUs and GPUs. Using hardware/software co-design, we evaluate our system via an FPGA prototype and project performance for a 28 nm ASIC. Our results demonstrate superior energy efficiency. The projected ASIC is 1.90x more energy-efficient than the NVIDIA Jetson AGX Orin and 9.83x more than an NVIDIA RTX 4090 for the Q8_0 model. This work positions CGLA as a promising platform for sustainable ASR on power-constrained edge devices. language of the presentation: English | ||||||||
| 岡本 光 | M, 1回目発表 | コンピューティング・アーキテクチャ | 中島 康彦, | 林 優一, | 張 任遠, | KAN Yirong, | PHAM HOAI LUAN, | Le Vu Trung Duong |
| ROCHA CONFESSOR BRIAN | D, 中間発表 | サイバネティクス・リアリティ工学 | 清川 清, | 荒牧 英治, | 内山 英昭, | Perusquia Hernandez Monica, | 平尾 悠太朗 |
| MUSHAFFA RASYID RIDHA | D, 中間発表 | ヒューマンＡＩインタラクション | Sakriani Sakti, | 荒牧 英治, | 大内 啓樹, | Faisal Mehmood, | Bagus Tris Atmaja |
| TAMAYO LENARD PAULO VELASCO | D, 中間発表 | ソーシャル・コンピューティング | 荒牧 英治, | Sakriani Sakti, | 若宮 翔子, | PENG SHAOWEN | |