Early Experiences Migrating CUDA codes to oneAPI
- Autores
- Costanzo, Manuel; Rucci, Enzo; García-Sánchez, Carlos; Naiouf, Marcelo
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- The heterogeneous computing paradigm represents a real programming challenge due to the proliferation of devices with different hardware characteristics. Recently Intel introduced oneAPI, a new programming environment that allows code developed in DPC++ to be run on different devices such as CPUs, GPUs, FPGAs, among others. This paper presents our first experiences in porting two CUDA applications to DPC++ using the oneAPI dpct tool. From the experimental work, it was possible to verify that dpct does not achieve 100% of the migration task; however, it performs most of the work, reporting the programmer of possible pending adaptations. Additionally, it was possible to verify the functional portability of the DPC++ code obtained, having successfully executed it on different CPU and GPU architectures.
Facultad de Informática - Materia
-
Ciencias Informáticas
oneAPI
SYCL
GPU
CUDA
Code portability - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/125138
Ver los metadatos del registro completo
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Early Experiences Migrating CUDA codes to oneAPICostanzo, ManuelRucci, EnzoGarcía-Sánchez, CarlosNaiouf, MarceloCiencias InformáticasoneAPISYCLGPUCUDACode portabilityThe heterogeneous computing paradigm represents a real programming challenge due to the proliferation of devices with different hardware characteristics. Recently Intel introduced oneAPI, a new programming environment that allows code developed in DPC++ to be run on different devices such as CPUs, GPUs, FPGAs, among others. This paper presents our first experiences in porting two CUDA applications to DPC++ using the oneAPI dpct tool. From the experimental work, it was possible to verify that dpct does not achieve 100% of the migration task; however, it performs most of the work, reporting the programmer of possible pending adaptations. Additionally, it was possible to verify the functional portability of the DPC++ code obtained, having successfully executed it on different CPU and GPU architectures.Facultad de Informática2021info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf14-18http://sedici.unlp.edu.ar/handle/10915/125138enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-2016-4info:eu-repo/semantics/reference/hdl/10915/121564info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:11:04Zoai:sedici.unlp.edu.ar:10915/125138Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:11:04.528SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Early Experiences Migrating CUDA codes to oneAPI |
title |
Early Experiences Migrating CUDA codes to oneAPI |
spellingShingle |
Early Experiences Migrating CUDA codes to oneAPI Costanzo, Manuel Ciencias Informáticas oneAPI SYCL GPU CUDA Code portability |
title_short |
Early Experiences Migrating CUDA codes to oneAPI |
title_full |
Early Experiences Migrating CUDA codes to oneAPI |
title_fullStr |
Early Experiences Migrating CUDA codes to oneAPI |
title_full_unstemmed |
Early Experiences Migrating CUDA codes to oneAPI |
title_sort |
Early Experiences Migrating CUDA codes to oneAPI |
dc.creator.none.fl_str_mv |
Costanzo, Manuel Rucci, Enzo García-Sánchez, Carlos Naiouf, Marcelo |
author |
Costanzo, Manuel |
author_facet |
Costanzo, Manuel Rucci, Enzo García-Sánchez, Carlos Naiouf, Marcelo |
author_role |
author |
author2 |
Rucci, Enzo García-Sánchez, Carlos Naiouf, Marcelo |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas oneAPI SYCL GPU CUDA Code portability |
topic |
Ciencias Informáticas oneAPI SYCL GPU CUDA Code portability |
dc.description.none.fl_txt_mv |
The heterogeneous computing paradigm represents a real programming challenge due to the proliferation of devices with different hardware characteristics. Recently Intel introduced oneAPI, a new programming environment that allows code developed in DPC++ to be run on different devices such as CPUs, GPUs, FPGAs, among others. This paper presents our first experiences in porting two CUDA applications to DPC++ using the oneAPI dpct tool. From the experimental work, it was possible to verify that dpct does not achieve 100% of the migration task; however, it performs most of the work, reporting the programmer of possible pending adaptations. Additionally, it was possible to verify the functional portability of the DPC++ code obtained, having successfully executed it on different CPU and GPU architectures. Facultad de Informática |
description |
The heterogeneous computing paradigm represents a real programming challenge due to the proliferation of devices with different hardware characteristics. Recently Intel introduced oneAPI, a new programming environment that allows code developed in DPC++ to be run on different devices such as CPUs, GPUs, FPGAs, among others. This paper presents our first experiences in porting two CUDA applications to DPC++ using the oneAPI dpct tool. From the experimental work, it was possible to verify that dpct does not achieve 100% of the migration task; however, it performs most of the work, reporting the programmer of possible pending adaptations. Additionally, it was possible to verify the functional portability of the DPC++ code obtained, having successfully executed it on different CPU and GPU architectures. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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http://sedici.unlp.edu.ar/handle/10915/125138 |
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eng |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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