Scientific Facilities

In addition to the departments we are building shared central scientific facilities and workshops:

Optics & Sensing Laboratory

The Optics and Sensing Laboratory supports research and development of new algorithms for image processing, enhancement and denoising, the integration of sensing systems of different types (stereo, video, range, etc.), new sensors and algorithms for computational photography and astronomy, and the development of real-time sensing systems for robotic platforms.

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Senya Polikovsky
Optics & Sensing Laboratory

+49 7071 601 1799
senya.polikovsky@tuebingen.mpg.de

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Alina Allakhverdieva
Optics & Sensing Laboratory
Alumni

+49 7071 6011709
alina.allakhverdieva@tuebingen.mpg.de

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Fabian Fritz
Optics & Sensing Laboratory
Alumni

+49 7071 601 1713
fabian.fritz@tuebingen.mpg.de

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Valentin Volchkov
Optics & Sensing Laboratory

+49 7071 601 1772
valentin.volchkov@tuebingen.mpg.de

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Lauren Davidson
Optics & Sensing Laboratory
Alumni

+49 70701 601 1709
lauren.davidson@tuebingen.mpg.de

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Alexander Lupas
Optics & Sensing Laboratory
Alumni

+49 70701 6011709
alexander.lupas@tuebingen.mpg.de


Scientific Computing

<div class="row"> <div class="col-md-12"> <p>Scientific Computing Facility builds and maintains the computing and storage infrastructure for the research in the institute. Apart from supporting the day-to-day computing needs of the researchers, we love to collaborate with them to develop scalable applications, and parallelize and/or optimize algorithms and applications. We also conduct independent research on scalable computing aspects of Intelligent Systems.</p> <br /> </div> <div class="col-md-5"> <a href="/uploads/ckeditor/pictures/123/content_sc.jpg" class="fancybox" rel="group"> <img src="/uploads/ckeditor/pictures/123/content_sc.jpg"" class="img-responsive" /> </a> </div> <div class="col-md-7"> <p>Our scientists have access to state-of-the-art High Performance Computing facilities. The in-house facilities include a cluster with CPU compute nodes and energy efficient GPU accelerators, and vast amount of storage. Our researchers can also make use of the Max Planck Computing and Data Facility located at Garching.</p> <p>CPU nodes in the in-house cluster are specially designed for the applications our researchers develop, many having 1TB of RAM and 64 cores each - ideal to run memory intensive scientific programs. The cluster also features more than 85 GPU accelerators, including Nvidia K80s. The peak performance of the fast-growing cluster is around 200 TeraFLOP/s.</p> <p>Our scientists work with large amount of data, and we have in-house storage systems with capacity of more than 1 Peta Bytes to address this need. The cluster runs a parallel file system to enable fast data access.</p> <p>The Max Planck <a href="http://www.mpcdf.mpg.de/" target="_blank">Computing and Data Facility</a> supports our high end computing needs. The supercomputer Hydra has more than 83,000 CPU cores and more than 650 GPU accelerators, making its peak performance around 2.7 PetaFLOP/s.</p> <p>We have a motivated team that works with researchers to help them use the computing resources effectively and develop fast and scalable applications.</p> </div> </div>

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Jojumon Kavalan
Senior Research Engineer

+49 7071 601 567
jojumon.kavalan@tuebingen.mpg.de

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Joan Josep Piles-Contreras
Senior Research Engineer

+49 7071 601 1750
joan.piles@tuebingen.mpg.de

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Bernhard Lang
Scientific Computing / Software Workshop
Alumni

bernhard.lang@tuebingen.mpg.de


Software Workshop

<p>The Software Workshop is a unique central scientific facility that brings together scientists and software engineers to translate basic research into software systems that can be used internally and deployed.</p> <p>Our goal is to increase the impact of research made at&nbsp;the Max Planck Intelligent Systems by:</p> <ul> <li>improving software that demonstrate a scientific outcome (eg. speeding up, port to a new framework, ...)</li> <li>helping scientists write good software (teaching, training or consulting),</li> <li>providing scientits&nbsp;with good infrastructure, good practices and&nbsp;tutorials,</li> <li>disseminating expertise through code reviews and software documentation,</li> <li>assisting scientists and departments or research groups&nbsp;in fields related to software engineering to ease the&nbsp;deployment, maintenance, or acceptance of a software</li> <li>developing tools that improve&nbsp;the workflow of scientists</li> </ul> <hr /> <p>Fields of expertise:</p> <ul> <li>Programming languages: C++, Python, CMake, CUDA, OpenCL, C#, Java, Matlab, R ... bash &amp; powershell</li> <li>Technologies: Django (+ celery + rest), Qt, OpenCV, Ansible, Kinect2, Caffe2, iOS, Android</li> <li>Methodology: Scrum</li> </ul>

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Raffi Enficiaud
Senior Research Engineer @ Software Workshop

+49 7071 601 1756
raffi.enficiaud@tuebingen.mpg.de

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Mahak Gupta
Software Workshop
Alumni

mahak.gupta@tuebingen.mpg.de

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Colton Smith
Software Workshop
Alumni

colton.smith@tuebingen.mpg.de

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Talha Zaman
Software Workshop

+49 7071 601 1851
talha.zaman@tuebingen.mpg.de

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Bernhard Lang
Scientific Computing / Software Workshop
Alumni

bernhard.lang@tuebingen.mpg.de

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Jean-Claude Passy
Research Engineer @ Software Workshop

+49 7071 601 1851
jean-claude.passy@tuebingen.mpg.de