4 papers
ppOpen-AT: A Directive-base Auto-tuning Language
Takahiro Katagiri
ppOpen-AT is a domain-specific language designed to ease the workload for developers creating libraries with auto-tuning (AT) capabilities. It consists of a set of directives that…
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…
A Communication Avoiding and Reducing Algorithm for Symmetric Eigenproblem for Very Small Matrices
Takahiro Katagiri, Jun'ichi Iwata, Kazuyuki Uchida
In this paper, a parallel symmetric eigensolver with very small matrices in massively parallel processing is considered. We define very small matrices that fit the sizes of caches…