Indo-Austrian Project


A BMWF-DST sponsored project to pursue research on energy aware compiler.


Summary

Energy consumption is still remaining as a crucial issue for modern HPC applications and architectures, including HPC cloud environments. Designing energy aware compilers for Heterogeneous systems, in addition, has become a mandatory task. This project aims at identifying the bottlenecks of existing workflow applications with more emphasis on energy reduction approaches.

About the program

The project was sanctioned by BMWF-DST (Indo-Austrian scheme) to create a joint venture between scientists of two countries (INDIA and Austria)

TITLE: Energy Aware Scientific Workflow Compiler for Future Heterogeneous Systems

Principal Investigator (INDIA):: Dr. Shajulin Benedict

Principal Investigator (AUSTRIA):: Prof. Dr. Radu Prodan

Participating Institutes:

University of Klagenfurt, Austria

Indian Institute of Information Technology Kottayam

Patrons of IIITKottayam:
Prof. Dr. Rajiv V. Dharaskar, Director, IIIT Kottayam
Shri. M. Radhakrishnan, Registrar, IIITKottayam

Collaborative Visits

Austria to India (February 2019)
India to Austria (June, July 2019)

Publications

Journals:

  • Nishant Saurabh, Shajulin Benedict, Jorge G.Barbosa, Radu Prodan, Expelliarmus: Semantic-Centric Virtual Machine Image Management in IaaS Clouds, in Journal of Parallel and Distributed Computing (Elsevier), Vol. 146, DOI: https://doi.org/10.1016/j.jpdc.2020.08.001 pp. 107-121, 2020.
  • Ennio Torre, Juan J. Durillo, Vincenzo de Maio, Prateek Agrawal, Shajulin Benedict, Nishant Saurabh, Radu Prodan, A Dynamic Evolutionary Multi-Objective Virtual Machine Placement Heuristic for Cloud Data Centers, in Information and Software Technology, Vol. 128, No. 106390, pp. 1-12, DOI: https://doi.org/10.1016/j.infsof.2020.106390 Elsevier, Dec. 2020.

    • Conferences:
  • Sumit Kumar Gaurav and Shajulin Benedict, Energy Aware Scheduling Algorithms for Cloud Environments – A Survey, accepted in IEEE 2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS’ 21), 2021.
  • Shajulin Benedict, RandomForest Enabled Collaborative COVID-19 Product Manufacturing/Fabrications, in International Semantic Intelligence Conference (ISIC 2021) - Best Paper Award, CEUR-WS , 2021.
  • Sumit Kumar Gaurav and Shajulin Benedict, A Taxonomy and Survey on Energy-Aware Scientific Workflows Scheduling in Large-Scale Heterogeneous Architecture, in IEEE 2021 6th International Conference on Inventive Computation Technologies (ICICT) , Coimbatore, India, pp. 820-826, doi: 10.1109/ICICT50816.2021.9358707, 2021.

    • Book Chapters:
  • Shajulin Benedict, Energy Efficient Aspects of Federated Learning -- Mechanisms and Opportunities, in icSoftComp2020, in Soft Computing and its Applications, Springer-CCIS series , DOI: https://doi.org/10.1007/978-981-16-0708-0_4, 2021.
  • Shajulin Benedict, Prateek Agrawal, Radu Prodan, Energy Consumption Analysis of R-based Machine Learning Algorithms for Pandemic Predictions , in Advanced Informatics for Computing Research, CCIS-Springer, 4th ICAICR 2020, Vol. 1393, https://doi.org/10.1007/978-981-16-3660-8_18, pp. 192-204, Jun 2021.