EDBT 2026 Demo / reviewers in the wild / expert
Atsushi Yoshimura
dblp:335/8726
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 2 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Parallel and multicore computing · 67% GPUs and heterogeneous computing · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
GPUs and heterogeneous computing
GPU programming |
0.7 | 1 | 2023 | GPU Programming Primitives for Computer Graphics · SIGGRAPH ASIA Courses 2023 |
Parallel and multicore computing
parallel algorithms |
0.7 | 1 | 2023 | GPU Programming Primitives for Computer Graphics · SIGGRAPH ASIA Courses 2023 |
Parallel and multicore computing › parallel algorithms
parallel primitives |
0.7 | 1 | 2023 | GPU Programming Primitives for Computer Graphics · SIGGRAPH ASIA Courses 2023 |
Methods — techniques the papers use, named apart from their topics
parallel reduction · 0.7parallel prefix scan · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | GPU Programming Primitives for Computer GraphicsabstractVarious parallel algorithms can be decomposed into programming primitives that share similar patterns. This course focuses on studying these programming primitives and their applicability in computer graphics, specifically in the context of massively parallel processing on GPUs. The course begins by establishing a theoretical foundation, followed by practical examples and real-world applications. We explain two pivotal algorithms: parallel reduction and parallel prefix scan in detail, discussing their variants and different implementations. Afterward, we provide a collection of more advanced techniques and tricks applicable across various domains. At the end of the course, we also briefly discuss code optimization. Daniel Meister 0004, Atsushi Yoshimura, Chih-Chen Kao |
SIGGRAPH ASIA Courses | 2 |
| 2022 | Multi-Fragment Rendering for Glossy Bounces on the GPU
Atsushi Yoshimura, Yusuke Tokuyoshi, Takahiro Harada |
EGSR (ST) | 1 |