Treffer: OmpSs-2 and OpenACC interoperation

Title:
OmpSs-2 and OpenACC interoperation
Authors:
Korakitis, Orestis, Garcia de Gonzalo, Simon, Guidotti, Nicolas, Barreto, João, Monteiro, José, Peña, Antonio
Contributors:
Barcelona Supercomputing Center
Publisher Information:
Institute of Electrical and Electronics Engineers (IEEE)
Publication Year:
2023
Collection:
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Subject Terms:
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles, Graphics processing units, Multiprocessors, Parallel processing (Electronic computers), Programming Productivity, Data Flow Paradigm, Task based, Parallelism, Runtime Scheduling, Code Transformation, GPU
Document Type:
Konferenz conference object
File Description:
application/pdf
Language:
English
Relation:
https://ieeexplore.ieee.org/abstract/document/10029694; info:eu-repo/grantAgreement/EC/H2020/801051/EU/European joint Effort toward a Highly Productive Programming Environment for Heterogeneous Exascale Computing (EPEEC)/EPEEC; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107255GB-C21/ES/BSC - COMPUTACION DE ALTAS PRESTACIONES VIII/; http://hdl.handle.net/2117/385155
DOI:
10.1109/WACCPD56842.2022.00007
Availability:
http://hdl.handle.net/2117/385155
https://doi.org/10.1109/WACCPD56842.2022.00007
Rights:
Open Access
Accession Number:
edsbas.DFA72040
Database:
BASE

Weitere Informationen

We propose an interoperation mechanism to enable novel composability across pragma-based programming models. We study and propose a clear separation of duties and implement our approach by augmenting the OmpSs-2 programming model, compiler and runtime system to support OmpSs-2 + OpenACC programming. To validate our proposal we port ZPIC, a kinetic plasma simulator, to leverage our hybrid OmpSs-2 + OpenACC implementation. We compare our approach against OpenACC versions of ZPIC on a multi-GPU HPC system. We show that our approach manages to provide automatic asynchronous and multi-GPU execution, removing significant burden from the application’s developer, while also being able to outperform manually programmed versions, thanks to a better utilization of the hardware. ; This work has been part of the EPEEC project. The EPEEC project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 801051. This paper was also partially funded by the Ministerio de Ciencia e Innovación Agencia Estatal de Investigación (PID2019-107255GB-C21/AEI/10.13039/501100011033). We gratefully acknowledge the support of NVIDIA AI Technology Center (NVAITC) Europe who provided us the remote access to NVIDIA DGX-1 ; Peer Reviewed ; Postprint (author's final draft)