Detailed slide: http://icsec2013.cp.su.ac.th/T1.1.pptx

Parallel computing is one of the key technologies that can be employed to accelerate a large scale application in science and engineering. The new emerging manycore technology can bring an extremely high performance at the level closed to one Teraflop to a single computer. This talk will present the architecture concept of the new Intel Xeon Phi processor and introduce tools and technique that can be used to develop a compute intensive application on this platform. These include topics such as native compilation, off load compilation, some optimization. Currently, the Intel Manycore remote testing lab is successfully deployed in Kasetsart University. This Xeon-Phi remote testing access lab will be used to demonstrate the programming concept. The participant will gain some basic knowledge on how to use the manycore coprocessor to speed up their advanced HPC applications.

Slides are http://icsec2013.cp.su.ac.th/T1.2.pdf

This tutorial aims to give an introduction to OpenStack and demonstrate how to use the software. OpenStack is an Open Source IaaS Cloud management software that has received a lot of attentions recently. The software has a large user-base and has been deployed by many companies to build private and public cloud around the world. The tutorial will have two parts. The first part will discuss its history, the overall architecture, and its key components such as keystone, nova, glance, and quantum. In the Second part, we will give a demo showing how to use OpenStack to create and use Virtual Machines and networks.

Slides are at http://icsec2013.cp.su.ac.th/T1.2.pdf

In a world of rapidly increasing storage requirements, the need for storage systems of massive size and high performance is emerging. Distributed storage systems provide a way to store enormous amounts of data, while allowing incremental upgrades to improve system performance and storage capacity such as processing documents on a cluster of commodity machines or deployed and run through cloud systems. Furthermore, Data-intensive computing that process large volumes of data typically terabyte (1012) or petabyte (1015) or exabyte (1018) and so on in size is a challenge in terms of their processing time to I/O and manipulation of data.

MapReduce is a simple and powerful programming model that enables easy development of scalable parallel applications to process vast amounts of data on a large cluster of commodity machines. With large clusters of machines, it becomes important to have a simple monitoring framework that provides a visual indication of how the cluster is and has been performing.

In this session, we present the Hadoop MapReduce, the Architecture of Hadoop Distributed File System, an example of MapReduce, the Development of a MapReduce application using Java, data analysis with Hadoop MapReduce and a case study on MapReduce applications.

Slides are at http://icsec2013.cp.su.ac.th/T2.2.pdf

In this talk we will present our recent work in 3D urban scene modeling and understanding by fusion of large scale multi-modality data such as airborne and terrestrial LIDAR, airborne and ground based video and images with a focus on 3D reconstruction, 3D segmentation, and 3D compression. We will also discuss our recent work in virtual navigation of the interior spaces of urban structures, rock geo-mechanics analysis for highway safety, etc.

Slides can be obtained from http://icsec2013.cp.su.ac.th/K1.pdf

For efficient and innovative use of big data, it is important to integrate multiple data bases across domains. For example, various public data bases are developed in life science, and how to find a novel scientific result using them is an essential technique. In social and business areas, open data strategies in many countries promote diversity of public data, how to combine big data and open data is a big challenge. That is, diversity of dataset is a problem to be solved for big data. Ontology gives a systematized knowledge to integrate multiple datasets across domains with semantics of them. Linked Data also provides techniques to interlink datasets based on semantic web technologies. We consider that combinations of ontology and Linked Data based on ontological engineering can contribute to solution of diversity problem in big data. In this talk, I discuss how ontological engineering could be applied to big data with some trial examples. I also give a brief introductions on the current state of Linked Open Data (LOD) activities.

Slides are at http://www.slideshare.net/KoujiKozaki/ontology-engineering-for-big-data

Slides are available at http://icsec2013.cp.su.ac.th/K2.rar

In this panel, we are welcome the discussion for finding the innovation in teaching computer science and engineering fields for Thai students. Current computer and information technology has been growing fast in the past decade. Since the new technology has come around everyday, the related body of knowledge has been gradually evolved. We are opening the discussions to seek for innovation and techniques in teaching in the field to develop the computer science and engineering graduate that have skills and core knowledge which can sustain the changes in the fields. The industry and academic institutions are welcome to share their opinions and experiences. The expected outcome from this panel is the best practice in necessary skill development and sustainable core body of knowledge.

Points to address here:

Motivation: challenges in developments of computer science/engineering graduates Knowledge: What is the computer science/engineering body of knowledge? People: What is the qualification of the desired graduate by the industry? Process: Teaching process/innovation for achieving both knowledges and skills? Collaboration: What are possible collaborations among academic instiutions and industry?

What is next? What is the impact of this forum outcome ? -next discussion forum/next action

Guest speakers from industry: Microsoft, Intel, IBM, Wealth Academic guests from KMUTT, Mahidol, Chula, KMUTNB and we welcome more lecturer participants!!

Over the last decade the data has grown many folds in volume, velocity and most importantly in variety! For many organizations Big Data is a buzz word. While market specialists keep churning out articles, talks, trainings and workshops to demystify the confusion, this topic still continues to carry its mystery.

This talk will attempt to explain Big Data concepts with 5 most practical use cases which are used by various organizations in real life today. This talk will present 5 use cases for the following fields.

• Science/R&D

• Social Media

• Govt/Enterprises

• Finance

• Media Industry

The talk will briefly explain the issues faced by the various fields and the big data solutions applied to solve/mitigate the challenges.

If your organization is like many, you're capturing and sharing more data from more sources than ever before. As a result, you're facing the challenge of managing high-volume and high-velocity data streams quickly and analytically.

Big Data is all about finding a needle of value in a haystack of unstructured information. Companies are now investing in solutions that interpret consumer behavior, detect fraud, and even predict the future! McKinsey released a report in May 2011 stating that leading companies are using big data analytics to gain competitive advantage. They predict a 60% margin increase for retail companies who are able to harvest the power of big data.

To support these new analytics, IT strategies are mushrooming, the newest techniques include brute force assaults on massive information sources, and filtering data through specialized parallel processing and indexing mechanisms. The results are correlated across time and meaning, and often merged with traditional corporate data sources. New data discovery techniques include spectacular visualization tools and interactive semantic query experiences. Knowledge workers and data scientists sift through filtered data asking one unrelated explorative question after another. As these supporting technologies emerge from graduate research programs into the world of corporate IT, IT strategists, planners, and architects need to both understand them and ensure that they are enterprise grade.

Slides are at http://icsec2013.cp.su.ac.th/K4.pptx