Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kouichi Hirai
dblp:229/2406
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3
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 |
Processor architecture and microarchitecture · 67% High-performance computing · 33% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Processor architecture and microarchitecture
instruction set architecture |
0.4 | 1 | 2020 | Co-design for A64FX manycore processor and "Fugaku" · SC 2020 |
High-performance computing
supercomputer architecture |
0.4 | 1 | 2020 | Co-design for A64FX manycore processor and "Fugaku" · SC 2020 |
Methods — techniques the papers use, named apart from their topics
performance analysis · 0.4co-design · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Co-design for A64FX manycore processor and "Fugaku"abstractWe have been carrying out the FLAGSHIP 2020 Project to develop the Japanese next-generation flagship supercomputer, the Post-K, recently named “Fugaku”. We have designed an original many core processor based on Armv8 instruction sets with the Scalable Vector Extension (SVE), an A64FX processor, as well as a system including interconnect and a storage subsystem with the industry partner, Fujitsu. The “co-design” of the system and applications is a key to making it power efficient and high performance. We determined many architectural parameters by reflecting an analysis of a set of target applications provided by applications teams. In this paper, we present the pragmatic practice of our co-design effort for “Fugaku”. As a result, the system has been proven to be a very power-efficient system, and it is confirmed that the performance of some target applications using the whole system is more than 100 times the performance of the K computer. Mitsuhisa Sato, Yutaka Ishikawa, Hirofumi Tomita, Yuetsu Kodama, Tetsuya Odajima, Miwako Tsuji, Hisashi Yashiro, Masaki Aoki, Naoyuki Shida, Ikuo Miyoshi, Kouichi Hirai, Atsushi Furuya, Akira Asato, Kuniki Morita, Toshiyuki Shimizu |
SC | 11 |
| 2019 | Automatic Power Saving Method by Energy Aware Job SchedulerabstractRecently, increasing power usage of HPC systems is a critical issue. Therefore, effective power saving method for eliminating electricity waste are very important to develop. Hiroaki Imade, Takahiro Kagami, Tomohiro Otawa, Kouichi Hirai, Yoshio Sakaguchi, Naoyuki Fujita |
CLUSTER | 4 |
| 2018 | The Tofu Interconnect DabstractIn this paper, we introduce a new and highly scalable interconnect called Tofu interconnect D that will be used in the post-K machine. This machine will officially be operational around 2021. The letter D represents high “density” node and “dynamic” packet slicing for “dual-rail” transfer. Herein we describe the design and the evaluation results of TofuD. Due to the high-density packaging, the optical link ratio of TofuD has decreased to 25% from the 66% optical link ratio of Tofu2. TofuD applies a new technique called dynamic packet slicing to reduce latency and to improve fault resilience. The evaluation results show that the one-way 8-byte Put latency is 0.49 μs. This is 31% lower than the latency of Tofu2. The injection rate per node is 38.1 GB/s which is approximately 83% of the injection rate of Tofu2. The link efficiency is as high as approximately 93%. Yuichiro Ajima, Takahiro Kawashima, Takayuki Okamoto, Naoyuki Shida, Kouichi Hirai, Toshiyuki Shimizu, Shinya Hiramoto, Yoshiro Ikeda, Takahide Yoshikawa, Kenji Uchida, Tomohiro Inoue |
CLUSTER | 5 |