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Henri Bal receives the Euro-Par Achievement Award 2014!

Professor Henri Bal received the Euro-Par Achievement Award 2014. Euro-Par is the major European conference series on parallel processing. With the award, Euro-Par has yearly honoured one computer scientist since 2008.

The 20th Euro-Par conference was held in Porto, Portugal, 25-29 August 2014, and attracted almost 300 participants from all over the world. Henri Bal gave a keynote presentation about the shared research infrastructure for Dutch Computer Science, the Distributed ASCI Supercomputer, which is organized by the ASCI research school.

The award was presented by the chair of the Euro-Par Steering Committee, Professor Christian Lengauer, in appreciation of Professor Bal's outstanding and sustained contributions to parallel processing in the Netherlands and beyond, including his research on parallel programming environments and his work on the DAS infrastructure. For more information about the award, see the Euro-Par site

WebPie wins 1st prize at the SCALE Challenge 2010!

 

 





MaRVIN Team wins 3rd prize at Billion Triple track of Semantic Web Challenge 2008

The Semantic Web challenge is the premier international event for demonstrating practical progress towards achieving the vision of the Semantic Web. The central idea of the Semantic Web is to extend the current human-readable web by encoding some of the semantics of resources in a machine-processable form. Moving beyond syntax opens the door to more advanced applications and functionality on the Web. Computers will be better able to search, process, integrate and present the content of these resources in a meaningful, intelligent manner.

In 2008, the challenge for the first time included the "Billion Triple track", whose primary goal is to demonstrate scalability of Semantic Web architectures and applications. The participants were given a collection of one billion triples (single facts) and had to demonstrate added value from the implicit semantics in the data. This could involve browsing and visualization of the data, could include inferencing to add implicit information to the dataset, etc.

The MaRVIN team used the Ibis Portability Layer to develop a self-organising distributed reasoner that can handle these large amounts of data. The MaRVIN system was demonstrated on the DAS-3 distributed supercomputer and was much appreciated for its innovative ideas, winning the 3rd prize in the Billion Triples track.

 

 





Ibis wins first prize at DACH 2008 - Basic Category

DACH 2008, or the First International Data Analysis Challenge for Finding Supernovae, is a competition which was held in conjuction with the IEEE Cluster/Grid 2008 international conference in Tsukuba, Japan. The competition was organized and supported by the IEEE Technical Committee on Scalable Computing, the Japan MEXT grant-in-aid for priority area research called Info-Plosion, and the Special Interest Group on High Performance Computing (SIGHPC) of the Information Processing Society of Japan (IPSJ).

The competition was driven by the observation that the importance of large scale data analysis increases every year, not only in the scientific domain (e.g. high energy physics, astronomy, biology), but also in industry (e.g. web search engines). The objective of the competition was to follow this emerging trend, and to encourage efficient data analysis efforts in distributed environments.

In the DACH challenge a large distributed database (of several hundreds of GBytes) of scientific data, gathered by the Subaru telescope in Hawaii, had to be searched to find new and unknown supernova candidates. A supernova is a phenomenon in which a star explodes in a spectacular manner, causing a very large amount of light to be emitted. For the calculations, the participants were given access to a supercomputer system comprising of 12 compute clusters distributed over Japan.

In the Basic Category, the goal was to process all the data as fast as possible. Our Ibis-based solution obtained by far the fastest result. While we required only 36 minutes for all calculations, the second best team used more than 1 hour. All other teams obtained run-times of 3 to even more than 25 times longer.

 

 





Ibis wins first prize at DACH 2008 - Fault Tolerant Category

DACH 2008, or the First International Data Analysis Challenge for Finding Supernovae, is a competition which was held in conjuction with the IEEE Cluster/Grid 2008 international conference in Tsukuba, Japan. The competition was organized and supported by the IEEE Technical Committee on Scalable Computing, the Japan MEXT grant-in-aid for priority area research called Info-Plosion, and the Special Interest Group on High Performance Computing (SIGHPC) of the Information Processing Society of Japan (IPSJ).

The competition was driven by the observation that the importance of large scale data analysis increases every year, not only in the scientific domain (e.g. high energy physics, astronomy, biology), but also in industry (e.g. web search engines). The objective of the competition was to follow this emerging trend, and to encourage efficient data analysis efforts in distributed environments.

In the DACH challenge a large distributed database (of several hundreds of GBytes) of scientific data, gathered by the Subaru telescope in Hawaii, had to be searched to find new and unknown supernova candidates. A supernova is a phenomenon in which a star explodes in a spectacular manner, causing a very large amount of light to be emitted. For the calculations, the participants were given access to a supercomputer system comprising of 12 compute clusters distributed over Japan.

In the Fault Tolerant Category, the goal was to process all the data as fast as possible, under artificial node failure. Our solution was implemented in Maestro, a self-organizing data-flow programming model based on the Ibis IPL. Maestro was the only system that participated in the Fault Tolerant challenge. It used a total of 92 nodes, 34 of which were killed, and one of which crashed by itself. Maestro automatically restarted about 10 percent of all tasks, before returning the correct result.

 

 

 


 

 

Ibis wins first prize at SCALE 2008

SCALE 2008, or the First IEEE International Scalable Computing Challenge, is a competition organized by the IEEE Technical Committee on Scalable Computing (TCSC), and endorsed by the IEEE Technical Committee on Parallel Processing.

The objective of the competition, held in conjunction with the CCGrid 2008 international conference in Lyon, France, was to highlight and showcase real-world problem solving using scalable computing techniques. The contest focused on end-to-end problem solving using concepts, technologies and architectures (including clusters and grids) relevant to the overall scope of the TCSC. All participants in the challenge were expected to identify significant current real-world problems where scalable computing techniques can be effectively used, and to design, implement, evaluate and demonstrate their solutions.

At SCALE 2008 we presented a scalable distributed supercomputing solution for the multimedia domain. Specifically, we developed an application in which a digital camera is capable of real-time 'recognition' of objects from a set of learned objects, while being connected to a world-wide grid system comprising of clusters in Europe, the United States, and Australia.

With our application we demonstrated true wall-socket grid computing. The entire application, including all required libraries, were stored on a single memory stick, which could be plugged into any Linux or Windows laptop with an appropriate JVM installed. From there, the application was compiled and started, with the world-wide set of available grid resources being employed entirely transparently.

 

 

 


 

 

MultimediaN wins 'Most Visionary Research Award' at AAAI 2007 using Ibis

AAAI 2007, or the 22nd Conference on Artificial Intelligence, was the 2007 edition of the leading conference series in the field of AI. It was held in Vancouver, British Columbia, Canada from July 22–26, 2007. The purpose of the conference was to promote research in AI and scientific exchange among AI researchers, practitioners, scientists, and engineers in related disciplines.

AAAI 2007 held an exciting new event, which took place during the opening reception: the AI Video Competition. The objective of the competition was to communicate to the world the fun of pursuing research in AI, and illustrate the impact of some of its application areas. Submitters were asked to create narrated videos of 1-5 minutes in length, focused on interesting AI research. Videos were then reviewed by an international program committee. The creators of the best videos were presented with awards named in honor of Shakey, SRI's pioneering robot.

MultimediaN is a Dutch public-private non-profit organization in which the scientific world cooperates with industrial and other non-profit institutions. Together they strive to achieve high-quality multimedia solutions for the digital world of today and tomorrow. MultimediaN researchers Frank Seinstra and Jan-Mark Geusebroek (ISLA, Informatics Institute, University of Amsterdam) submitted a video on their research project "Color-Based Object Recognition by a Grid-Connected Robot Dog" to the AI Video Competition, and won the award in the most prestigeous category: "Most Visionary Research". The video demonstrates their unique application in which a visual task is successfully performed by a robot which is connected to a set of compute clusters located around the world.

The application presented in the video is a close integration between a parallel image and video processing library implemented in C++ and MPI, and a wide-area communication and deployment framework, implemented in Java and Ibis (in fact: IPL and JavaGAT). The system itself has been shown live at several international conferences, such as ICME 2005 (Amsterdam, The Netherlands), ECCV 2006 (Graz, Austria), SC2007 (Reno, NV, USA). Clearly, without the benefits of the Ibis system, moving the application from a controlled laboratory setting to a real-world and hostile grid environment would have been close to impossible.

 

 

 

 


 

 

Ibis wins third prize at the Third Grid Plugtests 2006











 

 

 

 

 

 


 

 

Ibis wins second prize at the Second Grid Plugtests 2005