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Pelle Jakovits

Pelle Jakovits is a Ph.D. student in the Institute of Computer Science, the University of Tartu. He received his M.S. in Info-technology in the University of Tartu in 2010 on the topic "Reducing scientific computing problems to MapReduce". His current interest in the informatics research are parallel computing, Scientific Computing on the Cloud, distributed programming model MapReduce and it's alternatives.

Education: University of Tartu, MSc in Infotechnology, 2010.

Currently Studying: University of Tartu, PhD in Informatics, "Adapting Scientific Computing problems to Cloud computing frameworks", 2010-2014.

 

Contact information

Address

Institute of Computer Science
University of Tartu
J Liivi 2 - 311
Tartu 50409, Estonia

Phone
Fax

Email

 

Projects

 

Completed Projects

 

Theses

  • Ilja Kromonov, Bachelor's Degree, 2012, (sup) Pelle Jakovits, BSPlib Java Interface for Parallel Scientific Computing Application, University of Tartu, Faculty of Mathematics and Computer Science, Institute of Computer Science
  • Jürmo Mehine, Master's Degree, 2011, (sup) Satish Narayana Srirama, Pelle Jakovits, Large Scale Data Analysis Using Apache Pig, University of Tartu, Faculty of Mathematics and Computer Science, Institute of Computer Science

 

Theses under supervision

  • Lauri Taaleš, Bachelor's Degree, Comparing Spark and Hadoop MapReduce for iteratiive scientific algorithms, University of Tartu, Faculty of Mathematics and Computer Science, Institute of Computer Science
  • Kaspar Lippmaa, Bachelor's Degree, Cloud-based web application to help transport and logistics companies to plan trips, University of Tartu, Faculty of Mathematics and Computer Science, Institute of Computer Science

 

Publications

  • 2012
    • S. N. Srirama, P. Jakovits, E. Vainikko: Adapting Scientific Computing Problems to Clouds using MapReduce, Future Generation Computer Systems Journal, 28(1):184-192, 2012. Elsevier press. DOI 10.1016/j.future.2011.05.025
    • Jakovits, Pelle; Srirama, Satish; Vainikko, Eero (2012). MapReduce for Scientific Computing - Viability for non-embarrassingly parallel algorithms. Advances in Parallel Computing (117 - 124).IOS Press
    • P. Jakovits, S. N. Srirama, I. Kromonov: Stratus: A distributed computing framework for scientific simulations on the cloud, The Fifth International Symposium on Advances Of High Performance Computing And Networking (AHPCN-2012), In conjunction with The 14th IEEE International Conference on High Performance Computing and Communications (HPCC-2012), 25-27 June, 2012, pp. 1053-1059. IEEE.
    • S. N. Srirama, C. Willmore, V. Ivanistsev, P. Jakovits et al.: Desktop to Cloud Migration of Scientific Experiments, 2nd International Workshop on Cloud Computing and Scientific Applications (CCSA) @ 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2012), May 13-16, 2012.
  • 2011
    • S. N. Srirama, O. Batrashev, P. Jakovits, E. Vainikko: Scalability of Parallel Scientific Applications on the Cloud, Scientific Programming Journal, Special Issue on Science-driven Cloud Computing, 19(2-3):91-105, 2011. IOS Press. DOI 10.3233/SPR-2011-0320.
    • P. Jakovits, I. Kromonov, S. N. Srirama: Monte Carlo linear system solver using MapReduce, 4th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2011), December 5-7, 2011, pp.293-299. IEEE.