Early experiences migrating CUDA codes to oneAPI

Título:

Early experiences migrating CUDA codes to oneAPI

Autor:

Costanzo, Manuel

Colaboradores:

; Rucci, Enzo; García Sanchez, Carlos; Naiouf, Ricardo Marcelo

Temas:

PROCESADORES GRÁFICOS (GPUs)

En:

Jornadas de Cloud Computing, Big Data & Emerging Topics (9na : 2021 : La Plata, Argentina) 

Resumen:

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.

URL/DOI:

http://sedici.unlp.edu.ar/handle/10915/121564

Medio:

Soporte electrónico

Tipo de documento:

Artículo

Descripción física:

1 archivo (1,0 MB)

Idioma:

Inglés

Publicación:

, 2021

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