Brief performance portability analysis of a matrix multiplication kernel on multiple vendor GPUs

The heterogeneous computing paradigm has led to the need for portable and efficient programming solutions that can leverage the capabilities of various hardware devices, such as NVIDIA, Intel, and AMD GPUs. This study evaluates the performance and portability of the SYCL and CUDA languages for a mat...

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Guardado en:
Detalles Bibliográficos
Autores principales: Costanzo, Manuel, Rucci, Enzo, García-Sánchez, Carlos, Naiouf, Marcelo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2023
Materias:
Ciencias Informáticas
oneAPI
SYCL
GPU
CUDA
Performance portability
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/155420
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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