Demo Data from VLDB 2026 / reviewers in the wild / expert
Akira Ukawa
dblp:78/4149
· DBLP profile ↗
6ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 6 · 1 first-author
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 |
Storage systems · 67% High-performance computing · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing
data-intensive computing |
0.1 | 1 | 2006 | Storage challenge - High performance data analysis for particle physics using the Gfarm file system · SC 2006 |
Storage systems › file systems
distributed file system |
0.1 | 1 | 2006 | Storage challenge - High performance data analysis for particle physics using the Gfarm file system · SC 2006 |
Storage systems › i/o optimization
scalable i/o |
0.1 | 1 | 2006 | Storage challenge - High performance data analysis for particle physics using the Gfarm file system · SC 2006 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | PACS-CS: A Large-Scale Bandwidth-Aware PC Cluster for Scientific ComputationsabstractWe have been developing a large scale PC cluster named PACS-CS (Parallel Array Computer System for Computational Sciences) at Center for Computational Sciences, University of Tsukuba, for wide variety of computational science applications such as computational physics, computational material science, computational biology, etc. We consider the most important issue on the computation node is the memory access bandwidth, then a node is equipped with a single CPU which is different from ordinary high-end PC clusters. The interconnection network for parallel processing is configured as a multi-dimensional hyper-crossbar network based on trunking of Gigabit Ethernet to support large scale scientific computation with physical space modeling. Based on the above concept, we are developing an original mother board to configure a single CPU node with 8 ports of Gigabit Ethernet, which can be implemented in the half size of 19 inch rack-mountable 1U size platform. Under the preliminary performance evaluation, we confirmed that the computation part in practical Lattice QCD code will be able to achieve 30% of peak performance, and up to 600 Mbyte/sec of bandwidth at single directed neighboring communication will be achieved. PACS-CS will start its operation on July 2006 with 2560 CPUs and 14.3 Tflops of peak performance. Taisuke Boku, Mitsuhisa Sato, Akira Ukawa, Daisuke Takahashi, Shinji Sumimoto, Kouichi Kumon, Takashi Moriyama, Masaaki Shimizu |
CCGRID | 3 |
| 2006 | A scalable communication layer for multi-dimensional hyper crossbar network using multiple gigabit ethernetabstractThis paper proposes a scalable communication layer for a multi-dimensional hyper crossbar network using multiple Gigabit Ethernet for the PACS-CS system which consists of 2560 single-processor nodes and a 16 x 16 x 10 three dimensional hyper-crossbar network (3D-HXB). To realize a high performance communication layer using multiple existing Ethernet networks, the host processor usage for the communication processing must be reduced to less than the appropriate packet processing time which is calculated from a message size and a target communication bandwidth. To overcome this problem, we have developed the PM/Ethernet-HXB communication facility. PM/Ethernet-HXB realizes communication protocol processing without exclusion even for Zero-copy communication between the communication buffers of nodes. We have implemented the PM/Ethernet-HXB on SCore cluster system software, and evaluated its communication and application performance. PM/Ethernet-HXB achieves a unidirectional communication bandwidth of 1065 MB/s using nine Gigabit Ethernet links on a single dimension network. It also realizes a unidirectional communication bandwidth of 741 MB/s (98.8% of the theoretical performance) and a bidirectional bandwidth of 1401 MB/s (93.4% of the theoretical performance) on the three dimensional connections (3D-HXB: a total of six Ethernet links). The results of MPI communication bandwidth are a unidirectional communication bandwidth of 960 MB/s and a bidirectional bandwidth of 1008 MB/s using eight links on a single dimension network. These results show that PM/Ethernet-HXB realizes a comparative performance using multiple Gigabit Ethernet networks to dedicated cluster networks such as InfiniBand 4x (1000 MB/s). The speedups of IS and CG Class C NAS parallel benchmarks are scalable up to using four links on eight node cluster, and performance degradation between 3D-HXB (2 x 2 x 2) and 1-dimensional network is small. Shinji Sumimoto, Kazuichi Oe, Kouichi Kumon, Taisuke Boku, Mitsuhisa Sato, Akira Ukawa |
ICS | 6 |
| 2006 | Storage challenge - High performance data analysis for particle physics using the Gfarm file systemabstractThe Belle experiment operates at the KEKB accelerator, a high luminosity asymmetric energy e+ e- collider. The Belle collaboration studies CP violations in decays of B mesons to answer one of the fundamental questions of Nature, the matter-anti-matter asymmetry. Currently, Belle accumulates more than one million B Bbar meson pairs, corresponding to about 1.2 TB of raw data, per day.The challenge is how to realize the required high performance data access and scalable data computing. The Gfarm file system is a Grid-wide network shared file system that federates local storage of cluster nodes; moreover it provides scalable I/O performance with distributed data access. In the challenge, we will construct a Gfarm file system with 40 TB capacity and 30 GB/sec I/O bandwidth, integrating the local disks of 800 compute nodes in the KEKB computing facility, and demonstrate high-performance Belle data analysis. Nobuhiko Katayama, Mitsuhisa Sato, Taisuke Boku, Akira Ukawa, Shohei Nishida, Ichiro Adachi, Osamu Tatebe |
SC | 4 |
| 2003 | HMCS-G: Grid-enabled Hybrid Computing System for Computational AstrophysicsabstractThe authors have developed a hybrid computing system called HMCS-G, a Grid-enabled Heterogeneous Multi-Computer System, that provides a multiple cluster environment centered around a dedicated machine for gravity calculation. The purpose of HMCS-G is to provide an ideal computational environment for astrophysical study involving multiple physical phenomena. The worker cluster may comprise general-purpose PCs to perform tasks such as hydrodynamics computations, while the special-purpose machine, in this case a GRAPE-6 cluster, performs gravity calculations for all pairs of particles in the system. These systems are connected by OmniRPC, a grid-enabled RPC system that supports Globus and ssh for authentication. HMCS-G effectively provides worldwide access to a GRAPE-6 cluster, thereby securing several TFLOPS performance for intensive computations such as gravity calculation. All participating PC-clusters share this resource in a time-based manner using grid technology. The actual turn-around response time was measured for a system implemented over a number of institutions, and it was confirmed that HMCS-G provides acceptable real-world application performance. Precise simulations of galaxy formation are currently being performed on clusters in several institutes, involving smoothed particle hydrodynamics and radiative transfer in the context of complete gravity calculation as the first real application of HMCS-G. Taisuke Boku, Mitsuhisa Sato, Kenji Onuma, Junichiro Makino, Hajime Susa, Daisuke Takahashi, Masayuki Umemura, Akira Ukawa |
CCGRID | 8 |
| 2002 | Heterogeneous multi-computer system: a new platform for multi-paradigm scientific simulationabstractHMCS (Heterogeneous Multi-Computer System) is a new parallel processing platform combining massively parallel processors for continuum simulation and particle simulation to realize multi-scale computational physics simulations. We are constructing a prototype system of HMCS with a general purpose scientific parallel processor CP-PACS and a gravity calculation parallel processor GRAPE-6 connecting them via commodity-base parallel network.On the prototype of HMCS, a microscopic gravity calculation on GRAPE-6 and a macroscopic radiation hydrodynamic calculation on CP-PACS are performed simultaneously to realize very detailed simulation on computational astrophysics. Both systems are connected via parallel network controlling system named PIO (Parallel I/O System).In this paper, we report the overall concept, design and implementation of HMCS, and our application result for radiative transfer smoothed particle hydrodynamics with self gravity for analysis of galaxy generation. Taisuke Boku, Masayuki Umemura, Junichiro Makino, Toshiyuki Fukushige, Hajime Susa, Akira Ukawa |
ICS | 6 |
| 1999 | Lattice QCD results from the CP-PACS computer
Akira Ukawa |
Parallel Comput. | 1 |