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Shingo Ohki

dblp:97/2791 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · unresolved

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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
protein sequence analysis
0.112005
A case study of instant workbench for InterProScan by Knoppix high throughput computing edition · HPDC 2005
High-performance computing
high-throughput computing
0.112005
A case study of instant workbench for InterProScan by Knoppix high throughput computing edition · HPDC 2005
YearPublicationVenuePosition
2007 RABC: A Conceptual Design of Pervasive Infrastructure for Browser Computing based on Ajax technologies
abstract
We have developed the RIKEN AJAX browser computing (RABC) system. This system enables the simple realization of large scale Global Computing systems, like the SETI@home project, that take advantage of unused computing resources. Its greatest advantage is that an agent program, which has been traditionally required, does not need to be installed. Volunteers can participate by simply browsing to a Web page provided by the RABC system. This system allows greater CPU cycle resources to be acquired than traditional methods. We have evaluated a performance difference between JavaScript and legacy computer languages.
Fumikazu Konishi, Manabu Ishii, Shingo Ohki, Ryo Umetsu, Akihiko Konagaya
CCGRID3
2006 Improving the Research Environment of High Performance Computing for Non-cluster Experts Based on Knoppix Instant Computing Technology
Fumikazu Konishi, Manabu Ishii, Shingo Ohki, Yusuke Hamano, Shuichi Fukuda, Akihiko Konagaya
Euro-Par3
2005 A case study of instant workbench for InterProScan by Knoppix high throughput computing edition
abstract
We have developed an instant environment for protein sequence profile scanning application by re-mastering Knoppix distribution as high throughput computing edition. This is an integrated environment with bioinformatics applications, parallel file system and scheduler. The integrated environment allows biology researchers to perform scanning applications immediately on their computational pool without any system configuration changed.
Fumikazu Konishi, Shingo Ohki, Yusuke Hamano, Manabu Ishii
HPDC2