1 citations · 1 across the 7 of their papers we have counts for
8 papers
Implementation and Evaluation of NTT Arithmetic for ML-KEM on a CGLA
Takuto Ando, Yasuhiko Nakashima
FIPS 203 standardizes ML-KEM for post-quantum key establishment. Its polynomial multiplication relies on NTT butterflies with exact modular arithmetic over q = 3329. Dedicated NTT…
Implementation and Evaluation of BitNet Inference on a CGLA by Signed-Int4 Instructions
Takuto Ando, Yasuhiko Nakashima
Large language model (LLM) inference transfers model weights and activations for every generated token, making memory traffic and its energy cost part of the decode path. BitNet b1…
Energy-Oriented CGLA Mapping of a Memory-Polynomial Digital Predistortion Kernel
Takuto Ando, Yasuhiko Nakashima
Memory-polynomial digital predistortion (DPD) evaluates a small fixed coefficient set over a sliding input history, so its reduction step is a complex-MAC workload with local reuse…
Mamba-Family State-Space Model Kernels on a Programmable CGLA
Takuto Ando, Yasuhiko Nakashima
Edge and embedded inference is constrained by power and data movement. Mamba-family state-space models replace attention with sequence-linear recurrence, but their inference path c…
Design and Evaluation of Energy-Efficient Whisper Dot-Product Kernel Offloading on a CGLA Architecture
Takuto Ando, Yu Eto, Ayumu Takeuchi +1
In this paper, we implement and evaluate Whisper dot-product kernel offloading on IMAX, a programmable Coarse-Grained Linear Arrays (CGLAs) architecture. Whisper-tiny.en profiling…
Efficient Kernel Mapping and Comprehensive System Evaluation of LLM Acceleration on a CGLA
Takuto Ando, Yu Eto, Ayumu Takeuchi +1
Large Language Models (LLMs) demand substantial computational resources, resulting in high energy consumption on GPUs. To address this challenge, we focus on Coarse-Grained Reconfi…
Implementation and Evaluation of Stable Diffusion on a General-Purpose CGLA Accelerator
Takuto Ando, Yu Eto, Yasuhiko Nakashima
This paper presents the first implementation and in-depth evaluation of the primary computational kernels from the stable-diffusion.cpp image generation framework on IMAX3, a gener…
Energy-Efficient Hardware Acceleration of Whisper ASR on a CGLA
Takuto Ando, Yu Eto, Ayumu Takeuchi +1
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 pr…