GrADS

The goal of the Grid Application Development Software (GrADS) Project is to simplify distributed heterogeneous computing in the same way that the World Wide Web simplifed information sharing over the Internet. The GrADS project will explore the scientific and technical problems that must be solved to make grid application development and performance tuning for real applications an everyday practice.


References in zbMATH (referenced in 29 articles )

Showing results 1 to 20 of 29.
Sorted by year (citations)

1 2 next

  1. Selvi, S.; Manimegalai, D.: Task scheduling using two-phase variable neighborhood search algorithm on heterogeneous computing and grid environments (2015)
  2. Olteanu, Alexandra; Pop, Florin; Dobre, Ciprian; Cristea, Valentin: A dynamic rescheduling algorithm for resource management in large scale dependable distributed systems (2012)
  3. Garg, Saurabh Kumar; Yeo, Chee Shin; Anandasivam, Arun; Buyya, Rajkumar: Environment-conscious scheduling of HPC applications on distributed cloud-oriented data centers (2011)
  4. Bittencourt, Luiz Fernando; Madeira, Edmundo R.M.: Towards the scheduling of multiple workflows on computational grids (2010) ioport
  5. Chin, Sung Ho; Suh, Taeweon; Yu, Heon Chang: Adaptive service scheduling for workflow applications in Service-Oriented Grid (2010) ioport
  6. De Sarkar, Ajanta; Roy, Sarbani; Ghosh, Dibyajyoti; Mukhopadhyay, Rupam; Mukherjee, Nandini: An adaptive execution scheme for achieving guaranteed performance in computational grids (2010) ioport
  7. Yuan, Yingchun; Li, Xiaoping; Wang, Qian; Zhu, Xia: Deadline division-based heuristic for cost optimization in workflow scheduling (2009)
  8. Yu, Lei; Magoulès, Frédéric: Service scheduling and rescheduling in an applications integration framework (2009)
  9. Aziz, Abdul; El-Rewini, Hesham: On the use of meta-heuristics to increase the efficiency of online grid workflow scheduling algorithms (2008) ioport
  10. Hsu, Ching-Hsien; Chen, Tai-Lung; Park, Jong-Hyuk: On improving resource utilization and system throughput of master slave job scheduling in heterogeneous systems (2008) ioport
  11. Sanjay, H.A.; Vadhiyar, Sathish: Performance modeling of parallel applications for grid scheduling (2008)
  12. Alt, Martin: Using algorithmic skeletons for efficient grid computing with predictable performance. (2007)
  13. Desell, Travis; Maghraoui, Kaoutar El; Varela, Carlos A.: Malleable applications for scalable high performance computing (2007) ioport
  14. Chrabakh, Wahid; Wolski, Rich: GridSAT: Design and implementation of a computational grid application (2006) ioport
  15. Chrabakh, Wahid; Wolski, Rich: GridSAT: Design and implementation of a computational grid application (2006)
  16. Derbal, Youcef: Entropic grid scheduling (2006) ioport
  17. Derbal, Youcef: Entropic grid scheduling (2006)
  18. Wu, Ming; Sun, Xian-He: Grid harvest service: a performance system of grid computing (2006)
  19. Yu, Jia; Buyya, Rajkumar: A taxonomy of workflow management systems for grid computing (2006) ioport
  20. Berman, F.; Casanova, H.; Chien, A; Cooper, K.; Dail, H.; Dasgupta, A.; Deng, W.; Dongarra, J.; Johnsson, L.; Kennedy, K.; Koelbel, C.; Liu, B.; Liu, X.; Mandal, A.; Marin, G.; Mazina, M.; Mellor-Crummey, J.; Mendes, C.; Olugbile, A.; Patel, M.; Reed, D.; Shi, Z.; Sievert, O.; Xia, H.; YarKhan, A.: New grid scheduling and rescheduling methods in the grADS project (2005) ioport

1 2 next


Further publications can be found at: http://www.hipersoft.rice.edu/grads/publications_reports.htm