Workshops & Special Sessions
Advances in High-Performance E-Science Middleware and Applications
Organizers
- Robert van Engelen, Florida State University, USA
- Madhu Govindaraju, SUNY Binghamton, USA
- Massimo Cafaro, University of Salento, Italy
Abstract
The Workshop on Advances in High-Performance E-Science Middleware and Applications is an international forum which brings together researchers and practitioners working on different high-performance aspects of web/grid services, middleware and technologies that enable e-science applications. The enabling middleware technologies include tools to assemble together different resources such as parallel supercomputers, data archives, high-speed storage systems, advanced visualization devices and scientific instruments using high speed networks connecting geographically distributed devices and organizations. Many recent international efforts are actively fostering the development of e-science technologies and solutions. The Workshop will allow exchanging ideas and results related to on-going e-science computing research, focusing on high-performance aspects of e-science middleware and applications.
Date and Time
Thursday, December 11, 1–5 p.m.
Program
Session 1—Chair: Robert van Engelen
- 1–1:30 p.m.
- Parallel Multidimensional Scaling Performance on Multicore Systems
Seung-Hee Bae - 1:30–2 p.m.
- Analysis of Cache Performance for Processing XML-based Application Data on Multi-core Processors
Rajdeep Bhowmik and Madhusudhan Govindaraju - 2–2:15 p.m.
- Break
Session 2—Chair: Madhusudhan Govindaraju
- 2:15–2:45 p.m.
- DAGDA: Data Arrangement for the Grid and Distributed Applications
Gael Le Mahec, Eddy Caron, and Frédéric Desprez - 2:45–3:15 p.m.
- Coordinated Co-allocation Scheduling on Heterogeneous Clusters of SMPs
Ivan Rodero and Julita Corbalan - 3:15–3:30 p.m.
- Break
Session 3—Chair: Massimo Cafaro
- 3:30–4 p.m.
- Resource Availability Prediction for Improved Grid Scheduling
Brent Rood and Michael J. Lewis - 4–4:30 p.m.
- An Adaptive XML Parser for Developing High-Performance Web Services
Wei Zhang and Robert van Engelen