DISA

Centre for Data Intensive Sciences and Applications

National conference on Big Data and more

2017-10-30

We would like to recommend you to go to the SSF – Vinnova third joint conference on Software for Competitiveness: Big Data and Other Frontiers held on November 14th in Stockholm.

Key note speakers

  • Inger Danilda, Quadruple Learning AB,
  • Irene Ek, Swedish Agency for Growth Policy Analysis,
  • Seif Haridi, KTH & RISE SICS

This is also a great opportunity to meet and hear all about SSF and Vinnova projects within the area.

For more information and registration see the conference website.

/Diana

 

Invitation and sign up for the 3rd Big Data Conference at Linnaeus University

2017-10-26

Welcome to our 3rd annual Big Data Conference at Linnaeus University.

The conference this year’s host for the conference is Linnaeus University Centre for Data Intensive Sciences and Applications (DISA). We have invited researchers from our own Centre to present some of the work that has taken place within DISA this past year and Keynote and invited talks from other universities and partners.

When? Friday December 1st 2017 9.30-16.15

Where? Linnaeus University, Building: N, Room: IKEA, Växjö

During the day longer talks with an academic focus will be mixed with poster mingles during meals. We invite everyone that has an interest in Big Data and data intensive applications so please spread the invitation and information about the conference in your networks. Students are welcome to attend too. The presentations during the conference will be held in English.

The conference is free of charge, but if you register and don’t show up you will be charged a fee that covers food etc.

You can now register for the conference by clicking on the registration link below. Register here.

For program and more information see the conference website

Welcome!

Visualization focus in Phoenix, Arizona

2017-10-17

During October 1-6, 2017 Andreas Kerren, professor and Rafael Martins, Post-doc in Computer Science at Linnaeus University attended the IEEE VIS Conference in Phoenix, Arizona. IEEE VIS is the absolute top-level conference in the area of Visualization and this year they had, state-of-the-art presentations from the biggest names in the field.

During the conference Rafael Martins presented a paper at a co-located workshop, the 2nd Workshop on Visualization for the Digital Humanities (VIS4DH). The purpose of the workshop was to propose new research directions in visualization for the digital humanities, to familiarize the visualization research community with the problems faced by digital humanities researchers, and to foster future collaboration between visualization and digital humanities research.The paper presented by Rafael Martin is entitled StanceXplore Visualization for the Interactive Exploration of Stance in Social Media

The conference had a very strong focus on the combination of Machine Learning (ML) and Visualization, both from the perspective of interactive steering of ML techniques and also explaining the inner workings of complex techniques such as Deep Learning. There was also a lot of discussion about Visualization literacy, meaning, how people understand Visualization and how to improve on this.

Overall the conference was productive and full of interesting and diverse work and we are looking forward to see how the new insights can become valuable in from a DISA-perspective.

 

Last chances for H2020-funding coming up

2017-10-10

In order to be well prepared for the last chances for H2020-funding its good to get a hold of the official documents and prepublications as soon as possible. Official publication of work programmes for the last period of H2020 is getting closer and prepublications are staring to be published. The final documents will be available from October 27 from the Participant Portal, find calls here. The prepublication of the main  ICT part of the programme is now available.

Remember that minor changes can still be done.

More prepublications, for other parts of H2020, will follow during the coming weeks

Good luck!

The European Big Data Value Forum 2017

2017-09-29

The registration for The European Big Data Value Forum 2017 (EBDFV) is now open!

EBDVF 2017, jointly organised by the European Commission, the Big Data Value Association (BDVA) and EDF (European Data Forum), will take place on the 21-23 November in Versailles and it will be a key European event for industry professionals, business developers, researchers, and policy makers to discuss the challenges and opportunities of the European data economy and data-driven innovation in Europe.

Since it is a great opportunity for engaging and boosting your business around big data and data driven domains, we would like to invite to register for your participation here.

Registration to the European Big Data Value Forum is FREE.

It would be great if one or a few of the DISA-researchers would be able to participate – contact Diana Unander Nordle if you are interested

You can find further information on the event website: http://www.european-big-data-value-forum.eu/

//Diana

How can you benefit from patent information in your research?

2017-09-25

Research colleagues all around the world publish articles in scientific publications and you meet at conferences. We are of the understanding that you have a fairly good knowledge about your competition/colleagues, but how much do you know about the information that can be found in patent databases? A lot of interesting information can be found in open databases – a source of information that will enrich your research. At the seminar you will also get a glimpse into what help is available at, or in connection to, Linnaeus University.

At our assistance, we have two external experts from Awapatent. Magnus Ungsten, engineer in mechanical engineering and European Patent Attorney and Karl-Johan Grahn, doctor of philosophy in experimental physics.

This day has been designed primarily for employees at the faculty of technology but, of course, all employees are welcome.

Time: Monday, October 16, between 12 noon and 2 pm
Location: K1082, Växjö
We offer a simple lunch, free of charge – register no later than October 11 on gio@lnu.se

Changes might occur – for the most updated information click here

Second invited talk confirmed for our Big Data Conference on December 1st

2017-09-21

We are proud to present our second invited speaker Dr. Håkan Grahn is a Professor of Computer Engineering at Blekinge Institute of Technology, Sweden. He received a M.Sc. degree in Computer Science and Engineering in 1990 and a Ph.D. degree in Computer Engineering in 1995, both from Lund University. His main interests are computer architecture, multicore systems, parallel computing, data analytics, and performance evaluation. He has published more than hundred papers on these subjects. During 2011-2013, he served as Research Dean at Blekinge Institute of Technology. Currently, he is heading a 6-year research effort on big data analytics, BigData@BTH.

 

/Diana

Seminar series within Digital Humanities

2017-09-12

Digital Humanities Initiative at Linnaeus University with the support of Department of Cultural Sciences, Faculty of Arts and Humanities is happy to present a seminar series in the Digital Humanities (DH) field.

The DH Seminar series is aimed at providing a forum for relevant DH discussions in the region and beyond, inspiring collaboration with wider audiences about the emerging field of DH field and LNU’s DH Initiative, thus both strengthening the DH Initiative’s established network, as well as creating a space for collaboration between universities and cross-sectoral partners at national and international levels.

Seminars planned for the autumn of 2017 are

  • 25 September 13.00-14.30 (M1051), What’s in a name? – Metadata and the curation of access to digital audiovisual collections: Dagmar Brunow, Senior Lecturer, Department of Film and Literature, Faculty of Arts and Humanities, Linnaeus University
  • 17 October 13.00-14.30 (K2084), Too much information? – Negotiating the archives of the web: Jane Winters, Professor, Institute of Historical Research, School of Advanced Study, University of London
  • 28 November 13.00-14.30 (K2054), Some perspectives on digital and critical text editions: Elisabet Göransson, Associate Professor, Centre for Languages and Literature, Department of Arts and Cultural Sciences, Lund University
  • 06 December 13.00-14.00 (K1040), Open Data in the Age of Big Data Capitalism: Arwid Lund, Senior Lecturer, Department of Cultural Sciences, Faculty of Arts and Humanities, Linnaeus University

The Seminars are open to everyone, but please register by sending an email to dh@lnu.se.

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MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors

2017-08-30

A new publication in the journal: IEEE Transactions on Visualization and Computer Graphics by our senior lecturer Ilir Jusufi about High-Performance Computing memory performance analysis through the use of Visual Analytics.

Abstract: Memory performance is often a major bottleneck for high-performance computing (HPC) applications. Deepening memory hierarchies, complex memory management, and non-uniform access times have made memory performance behavior difficult to characterize, and users require novel, sophisticated tools to analyze and optimize this aspect of their codes. Existing tools target only specific factors of memory performance, such as hardware layout, allocations, or access instructions. However, today’s tools do not suffice to characterize the complex relationships between these factors. Further, they require advanced expertise to be used effectively. We present MemAxes, a tool based on a novel approach for analytic-driven visualization of memory performance data. MemAxes uniquely allows users to analyze the different aspects related to memory performance by providing multiple visual contexts for a centralized dataset. We define mappings of sampled memory access data to new and existing visual metaphors, each of which enabling a user to perform different analysis tasks. We present methods to guide user interaction by scoring subsets of the data based on known performance problems. This scoring is used to provide visual cues and automatically extract clusters of interest. We designed MemAxes in collaboration with experts in HPC and demonstrate its effectiveness in case studies.

Reference: A. Gimenez; T. Gamblin; I. Jusufi; A. Bhatele; M. Schulz; P. T. Bremer; B. Hamann, “MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors,” in IEEE Transactions on Visualization and Computer Graphics.

Download the full publication here.

//Diana Unander Nordle