Colloquia are 11.30-12.30pm Fridays during term time (40 mins talk + 20 mins questions).
Venue: School of Computing Staff Room (Level 9 EC Stoner)
Fri 17 Apr, David Hogg, Artificial Intelligence Research Theme
Title: Plans for the ICT part of the next EPSRC Delivery Plan
Fri 1 May, PGR Pot Pourri
2 minute ‘poster pitch’ talks by 25 PGRs:
• Oliver Skidmore, Shiroq Al-Megren, Ahlam Alrehaili, Gaurav Saxena and Yongxing Wang (CSE)
• Ibrahim Alzamil, Ahmad Kamal Bin Ramli, Xue Ouyang and David McKee (DSS)
• Samuel Wilson, Leroy Chew, Christian Weiss and Valerio Boncompagni (AC)
• Zahed Ahmed, Luluh Aldhubayi, Abdullah Alfaifi, Ayman Alghamdi, Abdulrahman Alosaimy, Mohammad Alqahtani, Sameer Alrehaili, Marwan Al-Tawil, Ahmed Alzahrani, Samuel Danso, Adamu Ibrahim, Juliana Jaafar, Alicja Piotrkowicz, and Noushin Rezapour-Asheghi (AI)
• Monica Noselli and Elaine Duffin (BMH)
Fri 8 May, Django Armstrong, Distributed Systems and Services Research Theme
Title: Energy Efficiency In Cloud Computing - The ASCETiC Approach
Abstract: Energy efficiency is at the heart of the EU’s Europe 2020 Strategy for smart, sustainable and inclusive growth as part of a transition to a resource efficient economy. Current trends in industry show continuous growth in the adoption and market value of Cloud computing with many companies changing their business models and products to adapt to a service orientated outlook (e.g. Microsoft's planned Windows 10 give-away, Office 365). With this growth, predictions have been made on an unsustainable quadrupling in the energy consumption and carbon emissions of data centres used to operate Cloud services by 2020 with comparable emissions to the aeronautical industry.
The Adapting Service lifeCycle towards EfficienT Clouds (ASCETiC) FP7 EU project is focused on providing novel methods and tools to support software developers aiming to optimise energy efficiency and minimise the carbon footprint resulting from designing, developing, deploying, and running software in Clouds.
This talk will cover: 1) The ASCETiC energy efficient Cloud computing reference architecture in the context of energy awareness and self-adaptation; 2) Present a live software demonstration of the first prototype of the architecture on a Cloud testbed; 3) Discuss our initial scientific findings on the performance of the prototype, and 4) Discuss lessons learned on leading development of a large EU STReP project.
The talk will be concluded with ideas on the future direction of and challenges within the research area of green Cloud computing.
Fri 29 May, Andrew Evans, Centre for Spatial Analysis & Policy, School of Geography
Title: The Ethics of Agent Based Modelling
Abstract: Agent-Based Models (ABM) represent society largely at the individual level. While models are abstract, or relatively homogeneous, and based on societal averages, the risks of their use centre around the risks associated with model use more generally. However, the rise of 'Big Data' and computing power opens opportunities for the use of real and specific individual data, and for dynamic data assimilation techniques seen in other modelling areas. Such data uses increase the potential social and individual benefits associated with ABM, but equally open up new fields of ethical risk. This talk will explore some of the risks and rewards associated with ABM in the face of these new opportunities.
Fri 5 June, Cagatay Turkay, Department of Computer Science, City University
Title: Interactive Visual Methods to Support Data-Rich Scientific Research
Abstract: The rapidly expanding application of experimental high-throughput and high-resolution methods in many scientific domains, such as biology, is creating enormous challenges for the analysts. Data sets are often highly heterogeneous, multi-scalar, and have significant levels of uncertainty. Visual analysis methods, in particular those that incorporate computational analysis, offer powerful solutions to empower analysts in coping with these challenges. This talk will walk you through methodologies in visual analytics over a number of examples of collaborative research projects.
Fri 12 June, Dave Pugmire, Computer Science and Mathematics Division, Oak Ridge National Laboratory
Title: Performance and extreme parallelism in visualization and HPC computing
Abstract: Analysis and visualization of the data generated by scientific simulation codes is a key step in enabling science from computation. However, a number of challenges lie along the current hardware and software paths to scientific discovery. These challenges occur over several different axes, including: data size, data complexity, type of visualization, number of nodes in an HPC system, and the increasing amount of parallelism within a node. Further, as the computational improvements outpace those of I/O, more data will be discarded and I/O-heavy analysis will suffer. Furthermore, the limited memory environment, particularly in the context of in situ analysis that can sidestep some I/O limitations, will require efficiency in data model, algorithms and infrastructure. This talk will present work that characterizes the performance of a variety of visualization techniques across HPC platforms, as well as research into techniques for efficiently, and effectively utilizing the extreme parallelism in current, and future HPC platforms.