1 citations · 2 across the 15 of their papers we have counts for
4 papers · 1 filter
Validation-Centric AI-Assisted GPU Porting of a 250,000+ Line Legacy Weather Simulation Code
Tetsuya Hoshino, Masaya Kato, Kazuhisa Tsuboki +3
Recent advances in large language models have made CLI-based AI agents a practical tool for accelerating GPU porting of large legacy scientific applications. Such applications, how…
DGEMM with Ozaki Scheme I/II on FP4 Tensor Cores: A Base-13 E2M1 Limb Representation
Shun-ichiro Hayashi, Daichi Mukunoki, Tetsuya Hoshino +1
This paper proposes a method and its implementation for emulating FP64 matrix multiplication (DGEMM) by constructing, on FP4 (E2M1; 2 exponent bits and 1 mantissa bit) Tensor Cores…
LLM-Based Porting of Optimized C++ to CUDA Through Deoptimization and Reoptimization
Daichi Mukunoki, Ryo Mikasa, Shunichiro Hayashi +2
When porting high-performance computing (HPC) code from CPU to GPU, CPU-oriented optimizations may obstruct LLM-based CUDA translation. We design and evaluate a Deopt-Reopt workflo…
Learning-Augmented Performance Model for Tensor Product Factorization in High-Order FEM
Xuanzhengbo Ren, Yuta Kawai, Tetsuya Hoshino +4
Accurate performance prediction is essential for optimizing scientific applications on modern high-performance computing (HPC) architectures. Widely used performance models primari…