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

Información del proyecto

BeyondMoore

Identificador del acuerdo de subvención: 949587

DOI

10.3030/949587

Fecha de la firma de la CE 13 Octubre 2020

Fecha de inicio 1 Agosto 2021

Fecha de finalización 31 Julio 2027

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 1 500 000,00

Aportación de la UE

€ 1 500 000,00

Coordinado por

KOC UNIVERSITY
Türkiye

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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

Publicaciones

Thesis and dissertations (2)

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

Autores: Javid Baydamirli
Publicado en: 2023
Editor: Koç University

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

Autores: Ismayil Ismayilov
Publicado en: 2023
Editor: Koç University

Conference proceedings (9)

P-MoVE: Performance Monitoring and Visualization with Encoded Knowledge

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

Snoopie: A Multi-GPU Communication Profiler and Visualizer

Autores: Mohammad Kefah Taha Issa, Muhammad Aditya Sasongko, Ilyas Turimbetov, Javid Baydamirli, Doğan Sağbili, and Didem Unat
Publicado en: In Proceedings of the 38th ACM International Conference on Supercomputing (ICS '24), Edición 38th, 2024, Página(s) 525–536
Editor: Association for Computing Machinery
DOI: 10.1145/3650200.3656597

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

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

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

Autores: Ismayil Ismayilov, Javid Baydamirli, Doğan Sağbili, Mohamed Wahib, and Didem Unat.
Publicado en: ICS '23: Proceedings of the 37th International Conference on Supercomputing, Edición In Proceedings of the 37th, 2023, Página(s) 192–202
Editor: ACM
DOI: 10.1145/3577193.3593713

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

Autores: Ilyas Turimbetov, Mohamed Wahib, Didem Unat
Publicado en: Proceedings of the 39th ACM International Conference on Supercomputing, 2025, Página(s) 384-396
Editor: ACM
DOI: 10.1145/3721145.3730426

Autonomous Execution for Multi-GPU Systems: Compiler Support

Autores: Javid Baydamirli, Tal Ben Nun, Didem Unat
Publicado en: SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2025, Página(s) 1129-1140
Editor: IEEE
DOI: 10.1109/scw63240.2024.00155

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

Autores: Mohamed Wahib, Muhammed Abdullah Soyturk, Didem Unat
Publicado en: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2026, Página(s) 1351-1367
Editor: ACM
DOI: 10.1145/3712285.3759775

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

Autores: Doğan Sağbili, Sinan Ekmekçibaşı, Khaled Z. Ibrahim, Tan Nguyen, Didem Unat
Publicado en: 2025 IEEE International Conference on Cluster Computing (CLUSTER), 2025, Página(s) 1-12
Editor: IEEE
DOI: 10.1109/cluster59342.2025.11186498

GPU-Initiated Resource Allocation for Irregular Workloads

Autores: Ilyas Turimbetov, MA Sasongko, and Didem Unat
Publicado en: ExHET '24: Proceedings of the 3rd International Workshop on Extreme Heterogeneity Solutions, 2024, Página(s) 1-8, ISBN 9798400705373
Editor: ACM
DOI: 10.1145/3642961.3643799

Peer reviewed articles (3)

The Persistent Challenge of Data locality in Post-Exascale Era

Autores: Didem Unat, Anshu Dubey, Emmanuel Jeannot, John Shalf
Publicado en: Computing in Science & Engineering, 2025, Página(s) 1-9, ISSN 1521-9615
Editor: American Institute of Physics
DOI: 10.1109/mcse.2025.3567586

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

Autores: Muhammad Aditya Sasongko, Milind Chabbi, Paul HJ Kelly, Didem Unat
Publicado en: IEEE Transactions on Parallel and Distributed Systems, Edición vol 34 no 5, 2023, Página(s) 1594-1608, ISSN 1045-9219
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2023.3257105

A sparse tensor generator with efficient feature extraction

Autores: Tugba Torun, Ameer Taweel, Didem Unat
Publicado en: Frontiers in Applied Mathematics and Statistics, Edición 11, 2025, ISSN 2297-4687
Editor: Frontiers Media SA
DOI: 10.3389/fams.2025.1589033