Normal view MARC view ISBD view

Early experiences migrating CUDA codes to oneAPI

By:

Costanzo, Manuel

Contributor(s):

Material type: Article

ArticleDescription: 1 archivo (1,0 MB)Subject(s):

PROCESADORES GRÁFICOS (GPUs)

Online resources:

Click here to access online

Summary: 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.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 3 )

Holdings
Item type	Home library	Collection	Call number	URL	Status	Date due	Barcode
Capítulo de libro	Biblioteca de la Facultad de Informática	Biblioteca digital	A1180 (Browse shelf(Opens below))	Link to resource	Recurso en Línea

Browsing Biblioteca de la Facultad de Informática shelves, Collection: Biblioteca digital Close shelf browser (Hides shelf browser)

Previous								Next
Previous	A1177 Distributed cybersecurity strategy, applying intelligence operation concept through data collection and analysis	A1178 Semantic web for interoperable food safety legislation data : a case study	A1179 Comparison of HPC architectures for computing all-pairs shortest paths : Intel Xeon Phi KNL vs NVIDIA Pascal	A1180 Early experiences migrating CUDA codes to oneAPI	A1181 Intelligent automatic generation of text summaries with soft computing techniques	A1182 Optimizing a gamified design through reinforcement learning : a case study in stack overflow	A1183 Towards ubiquitous and actionable augmented reality browsers by using semantic web technologies	Next

Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)

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.

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