Sciweavers

HPDC
2010
IEEE
14 years 1 days ago
Cloud computing paradigms for pleasingly parallel biomedical applications
Cloud computing offers new approaches for scientific computing that leverage the major commercial hardware and software investment in this area. Closely coupled applications are s...
Thilina Gunarathne, Tak-Lon Wu, Judy Qiu, Geoffrey...
HPDC
2010
IEEE
14 years 1 days ago
Case study for running HPC applications in public clouds
Qiming He, Shujia Zhou, Ben Kobler, Daniel C. Duff...
HPDC
2010
IEEE
14 years 1 days ago
Biocompute: towards a collaborative workspace for data intensive bio-science
The explosion of data in the biological community demands the development of more scalable and flexible portals for bioinformatic computation. To address this need, we put forth c...
Rory Carmichael, Patrick Braga-Henebry, Douglas Th...
HPDC
2010
IEEE
14 years 1 days ago
ROARS: a scalable repository for data intensive scientific computing
As scientific research becomes more data intensive, there is an increasing need for scalable, reliable, and high performance storage systems. Such data repositories must provide b...
Hoang Bui, Peter Bui, Patrick J. Flynn, Douglas Th...
HPDC
2010
IEEE
14 years 1 days ago
Seeking supernovae in the clouds: a performance study
Keith R. Jackson, Lavanya Ramakrishnan, Karl J. Ru...
HPDC
2010
IEEE
14 years 1 days ago
Towards long term data quality in a large scale biometrics experiment
Quality of data plays a very important role in any scientific research. In this paper we present some of the challenges that we face in managing and maintaining data quality for a...
Hoang Bui, Diane Wright, Clarence Helm, Rachel Wit...
HPDC
2010
IEEE
14 years 1 days ago
Performance analysis of dynamic workflow scheduling in multicluster grids
Scientists increasingly rely on the execution of workflows in grids to obtain results from complex mixtures of applications. However, the inherently dynamic nature of grid workflo...
Omer Ozan Sonmez, Nezih Yigitbasi, Saeid Abrishami...
HPDC
2010
IEEE
14 years 1 days ago
DiscFinder: a data-intensive scalable cluster finder for astrophysics
DiscFinder is a scalable approach for identifying large-scale astronomical structures, such as galaxy clusters, in massive observation and simulation astrophysics datasets. It is ...
Bin Fu, Kai Ren, Julio López, Eugene Fink, ...