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CORDIS - EU research results
CORDIS

Scaling extreme analYtics with Cross-architecture acceLeration based on OPen Standards​

CORDIS provides links to public deliverables and publications of HORIZON projects.

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

Communication, Networking and Dissemination Plan and Activities (opens in new window)

This deliverable presents the plan and the execution of the Communication, Networking and Dissemination activities in SYCLOPS. The initial plan will define the way in which (i) the different communities will be targeted, (ii) social media will be used, (iii) networking activities will be pursued, and (iv) the dissemination strategy will be adopted throughout the project lifetime. This initial plan will be updated at M12, M24 and M36 with various activities followed during the reporting periods as well as the results of the standardization activities pursued.

Architecture, interface, and benchmark specification (opens in new window)

This deliverable will provide the overall architectural blueprint of SYCLOPS together with inter and intra-layer interface definitions.

Communication, Networking and Dissemination Plan and Activities M12 (opens in new window)

This deliverable presents the plan and the execution of the Communication, Networking and Dissemination activities in SYCLOPS. The initial plan will define the way in which (i) the different communities will be targeted, (ii) social media will be used, (iii) networking activities will be pursued, and (iv) the dissemination strategy will be adopted throughout the project lifetime. This is the M12 update.

Data Management Plan (opens in new window)

Provides the complete research data life cycle and describes the types of research data that will be generated or collected during the project.

Data Management Plan M15 (opens in new window)

Provides the complete research data life cycle and describes the types of research data that will be generated or collected during the project.

EMDC v1.0 with RISC-V platform release (opens in new window)

First version of the EDMC released with RISC-V reference platform and compatibility verified across layers

RISC-V compiler backends (opens in new window)

New ACORAN and hipSYCL backends for RISC-V released and integrated in the EMDC v1.0 produced by WP3 (deliverable D3.1) and verified.

Publications

AdaptiveCpp Stdpar: C++ Standard Parallelism Integrated Into A SYCL Compiler (opens in new window)

Author(s): Aksel Alpay, Vincent Heueline
Published in: 2024, ISBN 9798400717901
Publisher: ACM
DOI: 10.1145/3648115.3648117

Performance modelling-driven optimization of RISC-V hardware for efficient SpMV (opens in new window)

Author(s): Alexandre Rodrigues, Leonel Sousa, and Aleksandar Ilic
Published in: 2024, ISBN 978-3-031-48803-0
Publisher: Springer
DOI: 10.1007/978-3-031-48803-0_15

"Towards Migration-Free ""Just-in-Case"" Data Archival for Future Cloud Data Lakes Using Synthetic DNA" (opens in new window)

Author(s): Marinelli, Eugenio; Yan, Yiqing; Magnone, Virginie; Dumargne, Charlotte; Barbry, Pascal; Heinis, Thomas; Appuswamy, Raja
Published in: Proceedings of the VLDB Endowment, 2023, ISSN 2150-8097
Publisher: ACM
DOI: 10.14778/3594512.3594522

SYCL-Bench 2020: Benchmarking SYCL 2020 on AMD, Intel, and NVIDIA GPUs (opens in new window)

Author(s): Luigi Crisci, Lorenzo Carpentieri, Peter Thoman, Aksel Alpay, Vincent Heuveline, Biagio Cosenza
Published in: 2024, ISBN 9798400717901
Publisher: ACM
DOI: 10.1145/3648115.3648120

Scientific Reports (opens in new window)

Author(s): Yiqing Yan, Nimesh Pinnamaneni, Sachin Chalapati, Conor Crosbie, Raja Appuswamy
Published in: Scientific Reports, 2023, ISSN 2045-2322
Publisher: Springer Nature
DOI: 10.1038/s41598-023-43172-0

Scientific Reports (opens in new window)

Author(s): Miguel Graça, Ricardo Nobre, Leonel Sousa & Aleksandar Ilic
Published in: Scientific Reports, 2024, ISSN 2045-2322
Publisher: Springer Nature
DOI: 10.1038/s41598-024-65317-5

Migrating CUDA to SYCL: A HEP Case Study with ROOT RDataFrame (opens in new window)

Author(s): Jolly Chen, Monica Dessole, Ana-Lucia Varbanescu
Published in: 2024, ISBN 9798400717901
Publisher: ACM
DOI: 10.1145/3648115.3648122

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