BTWorld: towards observing the global BitTorrent file-sharing network. - Maciej Wojciechowski; Mihai Capota; Johan A. Pouwelse; Alexandru Iosup (HPDC, 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 (IPTPS, 2010)

Tribler: P2P media search and sharing. - Niels Zeilemaker; Mihai Capota; Arno Bakker; Johan A. Pouwelse (ACM Multimedia, 2011)

Inter-swarm resource allocation in BitTorrent communities. - Mihai Capota; Nazareno Andrade; Tamás Vinkó; Flavio Roberto Santos; Johan A. Pouwelse; Dick H. J. Epema (Peer-to-Peer Computing, 2011)

Tribler: Search and stream. - Niels Zeilemaker; Mihai Capota; Arno Bakker; Johan A. Pouwelse (Peer-to-Peer Computing, 2011)

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 (IEEE BigData, 2013)

Open2Edit: A peer-to-peer platform for collaboration. - Niels Zeilemaker; Mihai Capota; Johan A. Pouwelse (Networking, 2013)

Investment Strategies for Credit-Based P2P Communities. - Mihai Capota; Nazareno Andrade; Johan A. Pouwelse; Dick H. J. Epema (PDP, 2013)

On swarm-level resource allocation in BitTorrent communities. - Tamás Vinkó; Flavio Santos; Nazareno Andrade; Mihai Capota (Optim. Lett., 2013)

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 (CCGRID, 2014)

Towards a Peer-to-Peer Bandwidth Marketplace. - Mihai Capota; Johan A. Pouwelse; Dick H. J. Epema (ICDCN, 2014)

Hiding user content interest while preserving P2P performance. - Riccardo Petrocco; Mihai Capota; Johan A. Pouwelse; Dick H. J. Epema (SAC, 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 (WBDB, 2014)

Decentralized credit mining in P2P systems. - Mihai Capota; Johan A. Pouwelse; Dick H. J. Epema (Networking, 2015)

Graphalytics: A Big Data Benchmark for Graph-Processing Platforms. - Mihai Capota; Tim Hegeman; Alexandru Iosup; Arnau Prat-Pérez; Orri Erling; Peter A. Boncz (GRADES@SIGMOD/PODS, 2015)

Enabling factor analysis on thousand-subject neuroimaging datasets. - Michael J. Anderson; Mihai Capota; Javier S. Turek; Xia Zhu; Theodore L. Willke; Yida Wang 003; Po-Hsuan Chen; Jeremy R. Manning; Peter J. Ramadge; Kenneth A. Norman (IEEE BigData, 2016)

Real-time full correlation matrix analysis of fMRI data. - Yida Wang 003; Bryn Keller; Mihai Capota; Michael J. Anderson; Narayanan Sundaram; Jonathan D. Cohen 003; Kai Li 001; Nicholas B. Turk-Browne; Theodore L. Willke (IEEE BigData, 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; et al. (Proc. VLDB Endow., 2016)

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 002; Oscar Esteban; et al. (PLoS Comput. Biol., 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)

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)

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 (ICML, 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; et al. (CoRR, 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)

Learning Code Representations Using Multifractal-based Graph Networks. - Guixiang Ma; Yao Xiao; Mihai Capota; Theodore L. Willke; Shahin Nazarian; Paul Bogdan; Nesreen K. Ahmed (IEEE BigData, 2021)

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)

Leveraging Reinforcement Learning and Large Language Models for Code Optimization. - Shukai Duan 002; Nikos Kanakaris; Xiongye Xiao; Heng Ping; Chenyu Zhou; Nesreen K. Ahmed; Guixiang Ma; Mihai Capota; Theodore L. Willke; Shahin Nazarian; Paul Bogdan (CoRR, 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; et al. (CoRR, 2023)

MonoCoder: Domain-Specific Code Language Model for HPC Codes and Tasks. - Tal Kadosh; Niranjan Hasabnis; Vy A. Vo; Nadav Schneider; Neva Krien; Mihai Capota; Abdul Wasay; Guy Tamir; Ted Willke; Nesreen K. Ahmed; Yuval Pinter; Timothy G. Mattson; et al. (HPEC, 2024)

A Structure-Aware Framework for Learning Device Placements on Computation Graphs. - Shukai Duan 002; Heng Ping; Nikos Kanakaris; Xiongye Xiao; Panagiotis Kyriakis; Nesreen K. Ahmed; Peiyu Zhang 002; Guixiang Ma; Mihai Capota; Shahin Nazarian; Theodore L. Willke; Paul Bogdan (NeurIPS, 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 G. Mattson; et al. (CoRR, 2024)

OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation. - Tal Kadosh; Niranjan Hasabnis; Prema Soundararajan; Vy A. Vo; Mihai Capota; Nesreen K. Ahmed; Yuval Pinter; Gal Oren 001 (CoRR, 2024)

PCEBench: A Multi-Dimensional Benchmark for Evaluating Large Language Models in Parallel Code Generation. - Le Chen; Nesreen K. Ahmed; Mihai Capota; Ted Willke; Niranjan Hasabnis; Ali Jannesari (IPDPS, 2025)

AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs. - Quazi Ishtiaque Mahmud; Ali TehraniJamsaz; Hung D. Phan; Le Chen; Mihai Capota; Theodore L. Willke; Nesreen K. Ahmed; Ali Jannesari (NAACL (Long Papers), 2025)