Diana Moise

According to our database1, Diana Moise authored at least 15 papers between 2010 and 2018.

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



In proceedings 
PhD thesis 


On csauthors.net:


CosmoFlow: using deep learning to learn the universe at scale.
Proceedings of the International Conference for High Performance Computing, 2018

Data-Parallel Training of Generative Adversarial Networks on HPC Systems for HEP Simulations.
Proceedings of the 25th IEEE International Conference on High Performance Computing, 2018

Governing energy consumption in Hadoop through CPU frequency scaling: An analysis.
Future Generation Comp. Syst., 2016

Experiences with Performing MapReduce Analysis of Scientific Data on HPC Platforms.
Proceedings of the ACM International Workshop on Data-Intensive Distributed Computing, 2016

Towards Efficient Power Management in MapReduce: Investigation of CPU-Frequencies Scaling on Power Efficiency in Hadoop.
Proceedings of the Adaptive Resource Management and Scheduling for Cloud Computing, 2014

Indexing and searching 100M images with map-reduce.
Proceedings of the International Conference on Multimedia Retrieval, 2013

Scalable high-dimensional indexing with Hadoop.
Proceedings of the 11th International Workshop on Content-Based Multimedia Indexing, 2013

Terabyte-scale image similarity search: Experience and best practice.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

MapReduce Applications in the Cloud: A Cost Evaluation of Computation and Storage.
Proceedings of the Data Management in Cloud, Grid and P2P Systems, 2012

On-the-Fly Task Execution for Speeding Up Pipelined MapReduce.
Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

Optimizing data management for MapReduce applications on large-scale distributed infrastructures. (Optimisation de la gestion des données pour les applications MapReduce sur des infrastructures distribuées à grande échelle).
PhD thesis, 2011

BlobSeer: Next-generation data management for large scale infrastructures.
J. Parallel Distrib. Comput., 2011

BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Large-scale distributed storage for highly concurrent Mapreduce applications.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Improving the Hadoop map/reduce framework to support concurrent appends through the BlobSeer BLOB management system.
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010