FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4376608052> ?p ?o ?g. }

• W4376608052 endingPage "396" @default.
• W4376608052 startingPage "385" @default.
• W4376608052 abstract "Data, algorithm and computing power are the three significant driving forces of artificial intelligence (AI). To increase the computing power, the heterogeneous computing (HC) architecture has been popularly applied. This architecture commonly consists of one general-purpose CPU and several specific accelerators such as GPUs, FPGAs or Neural network Processing Units (NPUs). For the students in AI specialty, it is essential to teach them the HC technology so that they can master the skills of accelerating the computationally-intensive AI algorithms. However, it is not easy to teach the HC technology as different accelerators have different development tools and different programming languages. To facilitate the HC development, the Intel corporation has launched oneAPI, which provides unified programming model across different accelerator architectures such as the CPU, GPU, FPGA and NPU, for the purpose of achieving faster application performance, more productivity and greater innovation. In this paper, the work on teaching HC technology for the students of AI specialty by using oneAPI toolkits, DPC++ programming and DevCloud experimental platform is presented. First, the background of HC technology is introduced. Then, the oneAPI toolkits and the teaching work of DPC++ programming is discussed. Following that, the experimental modules for teaching oneAPI by using DPC++ programming based on DevCloud online experimental platform are investigated. Later, a training project which uses oneAPI to accelerate Genome-Wide Association Studies (GWAS) algorithm based on CPU/GPU/FPGA HC platform is proposed. The above teaching work has been carried out in the AI specialty of Wuhan University of Technology, and the survey results show that this course can help the students easily and efficiently master the development technology of HC system." @default.
• W4376608052 created "2023-05-17" @default.
• W4376608052 creator A5004300024 @default.
• W4376608052 creator A5029329863 @default.
• W4376608052 creator A5032588791 @default.
• W4376608052 creator A5046248726 @default.
• W4376608052 creator A5056707708 @default.
• W4376608052 creator A5077954897 @default.
• W4376608052 date "2023-01-01" @default.
• W4376608052 modified "2023-10-12" @default.
• W4376608052 title "OneAPI Toolkits with Online Devcloud Platform for Teaching Heterogeneous Computing in Artificial Intelligence Specialty" @default.
• W4376608052 cites W2058322567 @default.
• W4376608052 cites W2440349382 @default.
• W4376608052 cites W2540279855 @default.
• W4376608052 cites W2895540242 @default.
• W4376608052 cites W2912012512 @default.
• W4376608052 cites W2969414999 @default.
• W4376608052 cites W3083723755 @default.
• W4376608052 cites W3112275514 @default.
• W4376608052 cites W3119837987 @default.
• W4376608052 cites W3189539559 @default.
• W4376608052 cites W3190062760 @default.
• W4376608052 cites W3195285310 @default.
• W4376608052 cites W3209449653 @default.
• W4376608052 cites W4200344018 @default.
• W4376608052 cites W4220687243 @default.
• W4376608052 cites W4220858434 @default.
• W4376608052 doi "https://doi.org/10.1007/978-981-99-2449-3_34" @default.
• W4376608052 hasPublicationYear "2023" @default.
• W4376608052 type Work @default.
• W4376608052 citedByCount "0" @default.
• W4376608052 crossrefType "book-chapter" @default.
• W4376608052 hasAuthorship W4376608052A5004300024 @default.
• W4376608052 hasAuthorship W4376608052A5029329863 @default.
• W4376608052 hasAuthorship W4376608052A5032588791 @default.
• W4376608052 hasAuthorship W4376608052A5046248726 @default.
• W4376608052 hasAuthorship W4376608052A5056707708 @default.
• W4376608052 hasAuthorship W4376608052A5077954897 @default.
• W4376608052 hasConcept C118524514 @default.
• W4376608052 hasConcept C123657996 @default.
• W4376608052 hasConcept C142362112 @default.
• W4376608052 hasConcept C149635348 @default.
• W4376608052 hasConcept C153349607 @default.
• W4376608052 hasConcept C154945302 @default.
• W4376608052 hasConcept C173608175 @default.
• W4376608052 hasConcept C199360897 @default.
• W4376608052 hasConcept C34165917 @default.
• W4376608052 hasConcept C41008148 @default.
• W4376608052 hasConcept C42935608 @default.
• W4376608052 hasConcept C50644808 @default.
• W4376608052 hasConceptScore W4376608052C118524514 @default.
• W4376608052 hasConceptScore W4376608052C123657996 @default.
• W4376608052 hasConceptScore W4376608052C142362112 @default.
• W4376608052 hasConceptScore W4376608052C149635348 @default.
• W4376608052 hasConceptScore W4376608052C153349607 @default.
• W4376608052 hasConceptScore W4376608052C154945302 @default.
• W4376608052 hasConceptScore W4376608052C173608175 @default.
• W4376608052 hasConceptScore W4376608052C199360897 @default.
• W4376608052 hasConceptScore W4376608052C34165917 @default.
• W4376608052 hasConceptScore W4376608052C41008148 @default.
• W4376608052 hasConceptScore W4376608052C42935608 @default.
• W4376608052 hasConceptScore W4376608052C50644808 @default.
• W4376608052 hasLocation W43766080521 @default.
• W4376608052 hasOpenAccess W4376608052 @default.
• W4376608052 hasPrimaryLocation W43766080521 @default.
• W4376608052 hasRelatedWork W1590908780 @default.
• W4376608052 hasRelatedWork W2025382273 @default.
• W4376608052 hasRelatedWork W2063534976 @default.
• W4376608052 hasRelatedWork W2117014006 @default.
• W4376608052 hasRelatedWork W2148971169 @default.
• W4376608052 hasRelatedWork W2364531466 @default.
• W4376608052 hasRelatedWork W2369207165 @default.
• W4376608052 hasRelatedWork W2383828164 @default.
• W4376608052 hasRelatedWork W2995926156 @default.
• W4376608052 hasRelatedWork W396164270 @default.
• W4376608052 isParatext "false" @default.
• W4376608052 isRetracted "false" @default.
• W4376608052 workType "book-chapter" @default.