3 citations · 3 across the 3 of their papers we have counts for
3 papers
3Dify: a Framework for Procedural 3D-CG Generation Assisted by LLMs Using MCP and RAG
Shun-ichiro Hayashi, Daichi Mukunoki, Tetsuya Hoshino +2
This paper proposes "3Dify," a procedural 3D computer graphics (3D-CG) generation framework utilizing Large Language Models (LLMs). The framework enables users to generate 3D-CG co…
RAO-SS: A Prototype of Run-time Auto-tuning Facility for Sparse Direct Solvers
Takahiro Katagiri, Yoshinori Ishii, Hiroki Honda
In this paper, a run-time auto-tuning method for performance parameters according to input matrices is proposed. RAO-SS (Run-time Auto-tuning Optimizer for Sparse Solvers), which i…
An Auto-tuning Method for Run-time Data Transformation for Sparse Matrix-Vector Multiplication
Takahiro Katagiri, Masahiko Sato
In this paper, we research the run-time sparse matrix data transformation from Compressed Row Storage (CRS) to Coordinate (COO) storage and an ELL (ELLPACK/ITPACK) format with Open…