Ole Weidner

Research Associate


Ph.D. Candidate - University of Edinburgh, Scotland, UK

My primary research interests lie at the intersection of computational science & engineering and distributed high-performance and data-intensive computing. I am particularly interested in a class of emerging science applications that exhibit dynamic data-intensive properties, such as next-generation genomics and transcriptomics workflows and large, sensor and instrument driven experiments and simulations. My current research is focusing on the theoretical foundations, abstractions and software systems that are required to automatically partition and distribute dynamic, data-intensive application workloads in large-scale, distributed cyberinfrastructure environments (like XSEDE and OSG). I work on the classification, categorization and automatic detection of data-related workload metrics and on novel placement and distribution mechanisms (“schedulers” – in the widest sense of the word) that can exploit these metrics to (hopefully) make intelligent decisions.

I enjoy spending my copious amounts of free time racing bicycles, both on the road and at the track. Growing up a stone’s throw away from the shores of the Baltic Sea, I’m also an enthusiastic surfer, kitesurfer and sailor. If the weather does not permit any of these activities, I like to spend my time tinkering with electronic circuits and low-cost microprocessors (like the Arduino) and conceiving obscure new project ideas.

Recent Publications

  • P*: A Model of Pilot-Abstractions (link)
    Andre Luckow, Mark Santcroos, Ole Weidner, Andre Merzky, Pradeep Kumar, Shantenu Jha
    Accepted at 8th IEEE International Conference on e-Science, September 2012
  • Towards a Common Model for Pilot-Jobs (acm link)
    Andre Luckow, Mark Santcroos, Ole Weidner, Andre Merzky, Sharath Maddineni, Shantenu Jha
    Proceedings of the 21st International Symposium on High-Performance Parallel and Distributed Computing, HPDC’12, June 2012
  • What Is the Price of Simplicity? — A Cross-Platform Evaluation of the SAGA API (acm link)
    Mathijs Den Burger, Ceriel Jacobs, Thilo Kielmann, Andre Merzky, Ole Weidner, Hartmut Kaiser
    Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I, 2010
  • Developing Large-Scale Adaptive Scientific Applications with Hard to Predict Runtime Resource Requirements (link)
    Shantenu Jha, Yaakoub El-Khamra, Hartmut Kaiser, Ole Weidner, Andre Merzky
    Proceedings of TeraGrid 2008, 2008 (Winner of the Performance Challenge Award)
  • Shrimp Farming on the Grid (link)
    Ole Weidner, Jean-Christophe Bidal
    MG’08: Proceedings of the 15th ACM Mardi Gras conference: From lightweight mash-ups to lambda grids, 2008
  • Design and Implementation of Network Performance Aware Applications Using SAGA and Cactus (acm link)
    Shantenu Jha, Hartmut Kaiser, Yaakoub El-Khamra, Ole Weidner
    E-SCIENCE ’07: Proceedings of the Third IEEE International Conference on e-Science and Grid Computing, 2007
  • Grid Interoperability at the Application Level Using SAGA (acm link)
    Shantenu Jha, Hartmut Kaiser, Andre Merzky, Ole Weidner
    E-SCIENCE ’07: Proceedings of the Third IEEE International Conference on e-Science and Grid Computing (e-Science 2007), 2007
  • The SAGA C++ Reference Implementation: A Milestone Toward New High-Level Grid Applications (acm link)
    Hartmut Kaiser, Andre Merzky, Stephan Hirmer, Ole Weidner, Gabrielle Allen, Edward Seidel
    SC ’06: Proceedings of the 2006 ACM/IEEE conference on Supercomputing, 2006

ole.weidner @ rutgers.edu

Contact No.: 

(848) 445-8540


CoRE 707