Demo Data from EDBT 2026 / reviewers in the wild / expert
Koichi Konishi
dblp:08/5628
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 1 first-authorArtificial intelligence and machine learning · 1
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 |
Interconnection networks and networks-on-chip · 44% Parallel and multicore computing · 44% Performance modeling and evaluation · 13% | |
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interconnection networks and networks-on-chip
cluster interconnect |
0.0 | 1 | 1998 | User-Space Communication: A Quantitative Study · SC 1998 |
Parallel and multicore computing › parallel computing › parallel communication
user-level communication |
0.0 | 1 | 1998 | User-Space Communication: A Quantitative Study · SC 1998 |
Methods — techniques the papers use, named apart from their topics
zero-copy protocol · 0.0quantitative comparison · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Chained Declustering using Multiple Conventional Filesystems
Koichi Konishi, Kentaro Kikuchi, Hideki Kawai, Kunihiko Kojima, Ken'ichi Ohmachi, Susumu Akamine, Toshikazu Fukushima |
CLUSTER | 1 |
| 1998 | User-Space Communication: A Quantitative StudyabstractPowerful commodity systems and networks offer a promising direction for high performance computing because they are inexpensive and they closely track technology progress. However, high, raw-hardware performance is rarely delivered to the end user. Previous work has shown that the bottleneck in these architectures is the overheads imposed by the software communication layer. To reduce these overheads, researchers have proposed a number of user-space communication models. The common feature of these models is that applications have direct access to the network, bypassing the operating system in the common case and thus avoiding the cost of send/receive system calls. In this paper we examine five user-space communication layers, that represent different points in the configuration space: Generic AM, BIP-0.92, FM-2.02, PM-1.2, and VMMC-2. Although these systems support different communication paradigms and employ a variety of different implementation tradeoffs, we are able to quantitatively compare them on a single testbed consisting of a cluster of high-end PCs connected by a Myrinet network. We find that all five communication systems have very low latency for small messages, in the range of 5 to 17 s. Not surprisingly, this range is strongly influenced by the functionality offered by each system. We are encouraged, however, to find that features such as protected and reliable communication at user level and multiprogramming can be provided at very low cost. Bandwidth, however, depends primarily on how data is transferred between host memory and the network. Most of the investigated libraries support zero-copy protocols for certain types of data transfers, but differ significantly in the bandwidth delivered to end users. The highest bandwidth, between 95 and 125 MBytes/s for long message transfers, is delivered by libraries that use DMA on both send and receive sides and avoid all data copies. Libraries that perform additional data copies or use programmed I/O to send data to the network achieve lower maximum bandwidth, in the range of 60-70 MBytes/s. Soichiro Araki, Angelos Bilas, Cezary Dubnicki, Jan Edler, Koichi Konishi, James Philbin |
SC | 5 |
| 1992 | An Asynchronous Fine-Grained Parallel Genetic Algorithm
Tsutomu Maruyama, Akihiko Konagaya, Koichi Konishi |
PPSN | 3 |