Visual Analytics

Visualization focus in Phoenix, Arizona

Tuesday, October 17th, 2017

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.

 

MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors

Wednesday, August 30th, 2017

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

New research opportunities with Södra.

Monday, August 14th, 2017

During late spring 2017, guest researcher Andreas Heberle spent some weeks to learn more about the needs and opportunities for joint research between Södra and tour DISA researchers. During these months Andreas has interviewed several domain experts at Södra and he found over 50 ideas and opportunities that could be the base for joint research.

Just before the summer holidays started, DISA researchers and experts from Södra gathered for a follow up workshop to discuss the potential next steps. The experts from Södra got the list with 50 ideas down to seven that were the most prioritized for them and in discussion with the researchers the list went down to three ideas/opportunities. Many of the other ideas will be taken care of internally at Södra. We have responsible people for each idea and looking forward to see some concrete action, either as full research projects or as student projects in one form or another.

We will by this show that there are many different ways to work together and it is by talking we can find out what works best for us within DISA and for you who wants to work closer with us. If you have ideas for joint research – don’t hesitate to contact us.

/Diana

5 new PhD students wanted!

Monday, May 15th, 2017

Linnaeus University Center for Data Intensive Science and Applications (DISA) has taken the first steps to build new competencies to the newly established research environment by opening up five positions for PhD students.

  • Physics with specialization in “Big Data in Astroparticle Physics”
  • Computer Science with specialization in Software and Information Quality
  • Computer Science with specialization in Visual Analytics
  • Computer Science with specialization on eHealth
  • Computer Science with specialization on formal methods and Security

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