activity
20182023
most citedAN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs

60 citations · 61 across the 3 of their papers we have counts for

collaborators

5 papers

cs.DC2023

ACC Saturator: Automatic Kernel Optimization for Directive-Based GPU Code

Kazuaki Matsumura, Simon Garcia De Gonzalo, Antonio J. Peña

Automatic code optimization is a complex process that typically involves the application of multiple discrete algorithms that modify the program structure irreversibly. However, th…

cs.DC2023★ 1 cited

A Symbolic Emulator for Shuffle Synthesis on the NVIDIA PTX Code

Kazuaki Matsumura, Simon Garcia De Gonzalo, Antonio J. Peña

Various kinds of applications take advantage of GPUs through automation tools that attempt to automatically exploit the available performance of the GPU's parallel architecture. Di…

cs.DC2021

JACC: An OpenACC Runtime Framework with Kernel-Level and Multi-GPU Parallelization

Kazuaki Matsumura, Simon Garcia De Gonzalo, Antonio J. Peña

The rapid development in computing technology has paved the way for directive-based programming models towards a principal role in maintaining software portability of performance-c…

cs.DC2020★ 60 cited

AN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs

Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib +2

Stencil computation is one of the most widely-used compute patterns in high performance computing applications. Spatial and temporal blocking have been proposed to overcome the mem…

cs.DC2018

Double-precision FPUs in High-Performance Computing: an Embarrassment of Riches?

Jens Domke, Kazuaki Matsumura, Mohamed Wahib +6

Among the (uncontended) common wisdom in High-Performance Computing (HPC) is the applications' need for large amount of double-precision support in hardware. Hardware manufacturers…