Mihai Capota

According to our database, Mihai Capota authored at least 29 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MPIrigen: MPI Code Generation through Domain-Specific Language Models.

Nadav Schneider, Niranjan Hasabnis, Vy A. Vo, Tal Kadosh, Neva Krien, Mihai Capota, Abdul Wasay, Guy Tamir, Ted Willke, Nesreen K. Ahmed, Yuval Pinter, Timothy Mattson, Gal Oren

CoRR, 2024

2023

Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks.

Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Mihai Capota, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy G. Mattson, Gal Oren

CoRR, 2023

Leveraging Reinforcement Learning and Large Language Models for Code Optimization.

Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan

CoRR, 2023

2022

End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning.

Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan

CoRR, 2022

2021

Learning Code Representations Using Multifractal-based Graph Networks.

Guixiang Ma, Yao Xiao, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan, Nesreen K. Ahmed

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis.

Manoj Kumar, Cameron T. Ellis, Qihong Lu, Hejia Zhang, Mihai Capota, Theodore L. Willke, Peter J. Ramadge, Nicholas B. Turk-Browne, Kenneth A. Norman

PLoS Comput. Biol., 2020

The LDBC Graphalytics Benchmark.

Alexandru Iosup, Ahmed Musaafir, Alexandru Uta, Arnau Prat-Pérez, Gábor Szárnyas, Hassan Chafi, Ilie Gabriel Tanase, Lifeng Nai, Michael J. Anderson, Mihai Capota, Narayanan Sundaram, Peter A. Boncz, Siegfried Depner, Stijn Heldens, Thomas Manhardt, Tim Hegeman, Wing Lung Ngai, Yinglong Xia

CoRR, 2020

Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network.

Javier Turek, Shailee Jain, Vy A. Vo, Mihai Capota, Alexander Huth, Theodore L. Willke

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between.

Javier S. Turek, Shailee Jain, Mihai Capota, Alexander G. Huth, Theodore L. Willke

CoRR, 2019

2017

Bridging the Gap between HPC and Big Data frameworks.

Michael J. Anderson, Shaden Smith, Narayanan Sundaram, Mihai Capota, Zheguang Zhao, Subramanya Dulloor, Nadathur Satish, Theodore L. Willke

Proc. VLDB Endow., 2017

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.

Krzysztof J. Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capota, M. Mallar Chakravarty, Nathan William Churchill, Alexander Li Cohen, R. Cameron Craddock, Gabriel A. Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S. Ghosh, J. Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher John Steele, Pierre-Olivier Quirion, Robert E. Smith, Stephen C. Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russell A. Poldrack

PLoS Comput. Biol., 2017

2016

LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms.

Alexandru Iosup, Tim Hegeman, Wing Lung Ngai, Stijn Heldens, Arnau Prat-Pérez, Thomas Manhardt, Hassan Chafi, Mihai Capota, Narayanan Sundaram, Michael J. Anderson, Ilie Gabriel Tanase, Yinglong Xia, Lifeng Nai, Peter A. Boncz

Proc. VLDB Endow., 2016

Real-time full correlation matrix analysis of fMRI data.

Yida Wang, Bryn Keller, Mihai Capota, Michael J. Anderson, Narayanan Sundaram, Jonathan D. Cohen, Kai Li, Nicholas B. Turk-Browne, Theodore L. Willke

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Enabling factor analysis on thousand-subject neuroimaging datasets.

Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Graphalytics: A Big Data Benchmark for Graph-Processing Platforms.

Mihai Capota, Tim Hegeman, Alexandru Iosup, Arnau Prat-Pérez, Orri Erling, Peter A. Boncz

Proceedings of the Third International Workshop on Graph Data Management Experiences and Systems, 2015

Decentralized credit mining in P2P systems.

Mihai Capota, Johan A. Pouwelse, Dick H. J. Epema

Proceedings of the 14th IFIP Networking Conference, 2015

2014

Towards Benchmarking IaaS and PaaS Clouds for Graph Analytics.

Alexandru Iosup, Mihai Capota, Tim Hegeman, Yong Guo, Wing Lung Ngai, Ana Lucia Varbanescu, Merijn Verstraaten

Proceedings of the Big Data Benchmarking - 5th International Workshop, 2014

Hiding user content interest while preserving P2P performance.

Riccardo Petrocco, Mihai Capota, Johan A. Pouwelse, Dick H. J. Epema

Proceedings of the Symposium on Applied Computing, 2014

Towards a Peer-to-Peer Bandwidth Marketplace.

Mihai Capota, Johan A. Pouwelse, Dick H. J. Epema

Proceedings of the Distributed Computing and Networking - 15th International Conference, 2014

V for Vicissitude: The Challenge of Scaling Complex Big Data Workflows.

Bogdan Ghit, Mihai Capota, Tim Hegeman, Jan Hidders, Dick H. J. Epema, Alexandru Iosup

Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013

On swarm-level resource allocation in BitTorrent communities.

Tamás Vinkó, Flavio Santos, Nazareno Andrade, Mihai Capota

Optim. Lett., 2013

Investment Strategies for Credit-Based P2P Communities.

Mihai Capota, Nazareno Andrade, Johan A. Pouwelse, Dick H. J. Epema

Proceedings of the 21st Euromicro International Conference on Parallel, 2013

Open2Edit: A peer-to-peer platform for collaboration.

Niels Zeilemaker, Mihai Capota, Johan A. Pouwelse

Proceedings of the IFIP Networking Conference, 2013, Brooklyn, 2013

The BTWorld use case for big data analytics: Description, MapReduce logical workflow, and empirical evaluation.

Tim Hegeman, Bogdan Ghit, Mihai Capota, Jan Hidders, Dick H. J. Epema, Alexandru Iosup

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2011

Tribler: Search and stream.

Niels Zeilemaker, Mihai Capota, Arno Bakker, Johan A. Pouwelse

Proceedings of the 2011 IEEE International Conference on Peer-to-Peer Computing, 2011

Inter-swarm resource allocation in BitTorrent communities.

Mihai Capota, Nazareno Andrade, Tamás Vinkó, Flavio Roberto Santos, Johan A. Pouwelse, Dick H. J. Epema

Proceedings of the 2011 IEEE International Conference on Peer-to-Peer Computing, 2011

Tribler: P2P media search and sharing.

Niels Zeilemaker, Mihai Capota, Arno Bakker, Johan A. Pouwelse

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

2010

Public and private BitTorrent communities: a measurement study.

Michel Meulpolder, Lucia D'Acunto, Mihai Capota, Maciej Wojciechowski, Johan A. Pouwelse, Dick H. J. Epema, Henk J. Sips

Proceedings of the 9th international conference on Peer-to-peer systems, 2010

BTWorld: towards observing the global BitTorrent file-sharing network.

Maciej Wojciechowski, Mihai Capota, Johan A. Pouwelse, Alexandru Iosup

Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010