Pioneering a New Path in Parallel Programming Beyond Moore’s Law

Project Information

BeyondMoore

Grant agreement ID: 949587

DOI

10.3030/949587

EC signature date 13 October 2020

Start date 1 August 2021

End date 31 July 2027

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 500 000,00

EU contribution

€ 1 500 000,00

Coordinated by

KOC UNIVERSITY
Türkiye

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Open Research Data Pilot (1)

Data Management Plan

The project is part of the Open Research Data Pilot and is thus fully committed to ensure the open access of all its relevant results and data The primary results of the project are expected to take the form of an opensource software available through the project website and public repositories Even though it was linked to the first WP it is related to all the WPs

Publications

Thesis and dissertations (2)

Autonomous Execution for Multi-GPU Systems: CPU-Free Blueprint and Compiler Support

Author(s): Javid Baydamirli
Published in: 2023
Publisher: Koç University

GPU-Centric Communication Schemes: When CPUs Take a Back Seat

Author(s): Ismayil Ismayilov
Published in: 2023
Publisher: Koç University

Conference proceedings (9)

P-MoVE: Performance Monitoring and Visualization with Encoded Knowledge

Author(s): Fatih Taşyaran, Osman Yasal, José A. Morgado, Aleksandar Ilic, Didem Unat, Kamer Kaya
Published in: SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2025, Page(s) 1531-1542
Publisher: IEEE
DOI: 10.1109/scw63240.2024.00193

Snoopie: A Multi-GPU Communication Profiler and Visualizer

Author(s): Mohammad Kefah Taha Issa, Muhammad Aditya Sasongko, Ilyas Turimbetov, Javid Baydamirli, Doğan Sağbili, and Didem Unat
Published in: In Proceedings of the 38th ACM International Conference on Supercomputing (ICS '24), Issue 38th, 2024, Page(s) 525–536
Publisher: Association for Computing Machinery
DOI: 10.1145/3650200.3656597

CPU- and GPU-initiated Communication Strategies for Conjugate Gradient Methods on Large GPU Clusters

Author(s): James D. Trotter, Sinan Ekmekçibaşı, Doğan Sağbili, Johannes Langguth, Xing Cai, Didem Unat
Published in: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2026, Page(s) 298-315
Publisher: ACM
DOI: 10.1145/3712285.3759774

Multi-GPU Communication Schemes for Iterative Solvers: When CPUs are Not in Charge

Author(s): Ismayil Ismayilov, Javid Baydamirli, Doğan Sağbili, Mohamed Wahib, and Didem Unat.
Published in: ICS '23: Proceedings of the 37th International Conference on Supercomputing, Issue In Proceedings of the 37th, 2023, Page(s) 192–202
Publisher: ACM
DOI: 10.1145/3577193.3593713

A Device-Side Execution Model for Multi-GPU Task Graphs

Author(s): Ilyas Turimbetov, Mohamed Wahib, Didem Unat
Published in: Proceedings of the 39th ACM International Conference on Supercomputing, 2025, Page(s) 384-396
Publisher: ACM
DOI: 10.1145/3721145.3730426

Autonomous Execution for Multi-GPU Systems: Compiler Support

Author(s): Javid Baydamirli, Tal Ben Nun, Didem Unat
Published in: SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2025, Page(s) 1129-1140
Publisher: IEEE
DOI: 10.1109/scw63240.2024.00155

Balanced and Elastic End-to-end Training of Dynamic LLMs

Author(s): Mohamed Wahib, Muhammed Abdullah Soyturk, Didem Unat
Published in: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2026, Page(s) 1351-1367
Publisher: ACM
DOI: 10.1145/3712285.3759775

Uniconn: A Uniform High-Level Communication Library for Portable Multi-GPU Programming

Author(s): Doğan Sağbili, Sinan Ekmekçibaşı, Khaled Z. Ibrahim, Tan Nguyen, Didem Unat
Published in: 2025 IEEE International Conference on Cluster Computing (CLUSTER), 2025, Page(s) 1-12
Publisher: IEEE
DOI: 10.1109/cluster59342.2025.11186498

GPU-Initiated Resource Allocation for Irregular Workloads

Author(s): Ilyas Turimbetov, MA Sasongko, and Didem Unat
Published in: ExHET '24: Proceedings of the 3rd International Workshop on Extreme Heterogeneity Solutions, 2024, Page(s) 1-8, ISBN 9798400705373
Publisher: ACM
DOI: 10.1145/3642961.3643799

Peer reviewed articles (3)

The Persistent Challenge of Data locality in Post-Exascale Era

Author(s): Didem Unat, Anshu Dubey, Emmanuel Jeannot, John Shalf
Published in: Computing in Science & Engineering, 2025, Page(s) 1-9, ISSN 1521-9615
Publisher: American Institute of Physics
DOI: 10.1109/mcse.2025.3567586

Precise Event Sampling on AMD Versus Intel: Quantitative and Qualitative Comparison

Author(s): Muhammad Aditya Sasongko, Milind Chabbi, Paul HJ Kelly, Didem Unat
Published in: IEEE Transactions on Parallel and Distributed Systems, Issue vol 34 no 5, 2023, Page(s) 1594-1608, ISSN 1045-9219
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2023.3257105

A sparse tensor generator with efficient feature extraction

Author(s): Tugba Torun, Ameer Taweel, Didem Unat
Published in: Frontiers in Applied Mathematics and Statistics, Issue 11, 2025, ISSN 2297-4687
Publisher: Frontiers Media SA
DOI: 10.3389/fams.2025.1589033