Pelle Jakovits

According to our database1, Pelle Jakovits authored at least 13 papers between 2011 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2015
Desktop to Cloud Migration of Scientific Computing Experiments.
CoRR, 2015

2014
NEWT - A resilient BSP framework for Iterative algorithms on hadoop YARN.
Proceedings of the International Conference on High Performance Computing & Simulation, 2014

Evaluating MapReduce frameworks for iterative Scientific Computing applications.
Proceedings of the International Conference on High Performance Computing & Simulation, 2014

2013
NEWT - A Fault Tolerant BSP Framework on Hadoop YARN.
Proceedings of the IEEE/ACM 6th International Conference on Utility and Cloud Computing, 2013

Clustering on the cloud: reducing CLARA to MapReduce.
Proceedings of the Second Nordic Symposium on Cloud Computing & Internet Technologies, 2013

Direct migration of scientific computing experiments to the cloud.
Proceedings of the International Conference on High Performance Computing & Simulation, 2013

Viability of the bulk synchronous parallel model for science on cloud.
Proceedings of the International Conference on High Performance Computing & Simulation, 2013

Adapting Scientific Applications to Cloud by Using Distributed Computing Frameworks.
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2012
Adapting scientific computing problems to clouds using MapReduce.
Future Generation Comp. Syst., 2012

Stratus: A Distributed Computing Framework for Scientific Simulations on the Cloud.
Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

2011
Scalability of parallel scientific applications on the cloud.
Scientific Programming, 2011

Monte Carlo Linear System Solver using MapReduce.
Proceedings of the IEEE 4th International Conference on Utility and Cloud Computing, 2011

MapReduce for Scientific Computing - Viability for non-embarrassingly parallel algorithms.
Proceedings of the Applications, Tools and Techniques on the Road to Exascale Computing, Proceedings of the conference ParCo 2011, 31 August, 2011


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