You are here

Presentations by group members at external events

We regularly present our work at seminars, specific meetings, and national and international conferences.

Introducing DISPEL Data-Intensive Process Engineering Language

Speaker(s): 
Presentation Type: 
talk

The Data-Intensive Process Engineering Language (DISPEL) has been developed in the ADMIRE project to encourage partitioning of data-intensive process design and development. It manipulates processing elements and data streams to generate graphs that represent the requested processes. Some of the features of the language designed to make this possible will be introduced

Date and time: 
Wednesday, 16 February, 2011 - 10:30
Location: 
DIR Theme: Technology Workshop 1, Edinburgh, UK
Research topics: 
Projects: 

Evolving strategies for data-intensive science

Speaker(s): 
Presentation Type: 
invited
Date and time: 
Friday, 3 December, 2010 - 13:00
Location: 
OIST International Workshop on Computational Ecology, Okinawa, Japan
Research topics: 

Web Portals for Computational Science

Presentation Type: 
tutorial

Not every user knows how to submit a compute job by a remote login or to adapt to different job- submission systems when switching between facilities. In recognition, a recent trend is to provide web portals as an interface, which come in two types, each with its own major drawback. The first type consists of generic job-submission portals, which still require many technical specifics to be supplied by the user and much manual handling of data and results. The second type consists of domain-specific portals, which are expensive and time-consuming to build and maintain.

Date and time: 
Monday, 15 November, 2010 - 13:30
Location: 
SC10, New Orleans, LA
Projects: 

UK e-Science: a Jewel or a Thousand Flowers

Speaker(s): 
Presentation Type: 
invited

The global digital revolution provides a fertile and turbulent ecological environment in which e-Science is a small but vital element. There is a deep history of e-Science, but coining the term and injecting leadership and modest funds had a huge impact. A veritable explosion of activity has led to a global burst of new e-Science species. Our challenge is to understand what will enable them to thrive and yield maximum benefit as the digital revolution continues to be driven by commerce and media.

Date and time: 
Monday, 11 October, 2010 - 13:10
Location: 
Berkeley, California, United States
Projects: 

ADMIRE: Facilitating Data Mining and Data Integration

Speaker(s): 
Presentation Type: 
talk

It is evident that data-intensive research is transforming computing landscape. We are facing the challenge of handling the deluge of data generated by sensors and modern instruments that are widely used in all domains. The number of sources of data is increasing, while, at the same time, the diversity, complexity and scale of these data resources are also growing dramatically. To survive the data tsunami, we need to improve our apparatus for the exploration and exploitation of the growing wealth of data.

Date and time: 
Wednesday, 7 July, 2010 - 14:00
Location: 
Information Sciences Institute, University of Southern California, Los Angeles, California, US.
Projects: 

ADMIRE: Facilitating Data Mining and Data Integration

Speaker(s): 
Presentation Type: 
talk

It is evident that data-intensive research is transforming computing landscape. We are facing the challenge of handling the deluge of data generated by sensors and modern instruments that are widely used in all domains. The number of sources of data is increasing, while, at the same time, the diversity, complexity and scale of these data resources are also growing dramatically. To survive the data tsunami, we need to improve our apparatus for the exploration and exploitation of the growing wealth of data.

Date and time: 
Thursday, 1 July, 2010 - 13:00
Location: 
Computation Institute, University of Chicago, Chicago, Illinois, US.
Research topics: 
Projects: 

ADMIRE: Facilitating Data Mining and Data Integration

Speaker(s): 
Presentation Type: 
talk

It is evident that data-intensive research is transforming computing landscape. We are facing the challenge of handling the deluge of data generated by sensors and modern instruments that are widely used in all domains. The number of sources of data is increasing, while, at the same time, the diversity, complexity and scale of these data resources are also growing dramatically. To survive the data tsunami, we need to improve our apparatus for the exploration and exploitation of the growing wealth of data.

Date and time: 
Tuesday, 29 June, 2010 - 11:00
Location: 
National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, Illinois, US.
Projects: 
Research topics: 

Rapid Tutorial

Speaker(s): 
Presentation Type: 
tutorial

Not every user knows how to submit a compute job by a remote login or to adapt to different job- submission systems when switching between facilities. In recognition, a recent trend is to provide web portals as an interface, which come in two types, each with its own major drawback. The first type consists of generic job-submission portals, which still require many technical specifics to be supplied by the user and much manual handling of data and results. The second type consists of domain-specific portals, which are expensive and time-consuming to build and maintain.

Date and time: 
Monday, 28 June, 2010 - 12:30
Location: 
JISC Roadshow, Swann Building, Kings Buildings, University of Edinburgh, UK
Research topics: 
Projects: 

Towards Optimising Distributed Data Streaming Graphs using Parallel Streams

Speaker(s): 
Presentation Type: 
talk

Modern scientific collaborations have opened up the opportunity of solving complex problems that involve multi- disciplinary expertise and large-scale computational experiments. These experiments usually involve large amounts of data that are located in distributed data repositories running various software systems, and managed by different organisations. A common strategy to make the experiments more manageable is executing the processing steps as a workflow.

Date and time: 
Tuesday, 22 June, 2010 - 11:30
Location: 
The Third International Workshop on Data Intensive Distributed Computing, Chicago, Illinois, US
Research topics: 
Projects: 

Data-Intensive Research

Speaker(s): 
Presentation Type: 
talk

Edinburgh Data-Intensive Research Data-intensive refers to huge volumes of data, complex patterns of data integration and analysis, and intricate interactions between data and users. Current methods and tools are failing to address data-intensive challenges effectively. They fail for several reasons, all of which are aspects of scalability.

Date and time: 
Tuesday, 1 June, 2010 - 14:00
Location: 
iDEA lab bio-medical data day, Informatics Forum, Edinburgh, UK

Pages