Author

Yasuhiko Nakashima

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Preprint Sep 2026

Implementation and Evaluation of BitNet Inference on a CGLA by Signed-Int4 Instructions

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 b1.58 represents its low-bit weights by ternary values and uses integer activations. However, this arithmetic does not match conventional int8...

Takuto Ando, Yasuhiko Nakashima · 0 citations

Preprint Sep 2026

Implementation and Evaluation of NTT Arithmetic for ML-KEM on a CGLA

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 accelerators minimize latency with fixed modular arithmetic and stage schedules. A CPU-Grounded Linear Array (CGLA) reuses one programmable...

Takuto Ando, Yasuhiko Nakashima · 0 citations

Preprint Sep 2026

Energy-Oriented CGLA Mapping of a Memory-Polynomial Digital Predistortion Kernel

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. We map this DPD reduction kernel onto In-Memory Accelerator eXtension (IMAX), a programmable CPU-Grounded Linear Array (CGLA) composed of...

Takuto Ando, Yasuhiko Nakashima · 0 citations