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- W4385575013 abstract "Towards the goal of improving functional and performance portability of SYCL, we study a bioinformatics application that has been accelerated with CUDA and fast pseudorandom number generation on a GPU. We describe the experience of migrating pseudorandom number generation from CUDA to SYCL, evaluate the performance of pseudorandom number generators using the CUDA random number generation library, suggest the support of the XORWOW pseudorandom number generator in the oneAPI math kernel library (oneMKL) interface for performance portability, and identify the performance gap using the MKL interface in SYCL that supports pseudorandom number generation with third-party libraries. We hope that the results are valuable for the development of the SYCL ecosystem." @default.
- W4385575013 created "2023-08-05" @default.
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- W4385575013 date "2023-05-01" @default.
- W4385575013 modified "2023-09-25" @default.
- W4385575013 title "Understanding SYCL Portability for Pseudorandom Number Generation: a Case Study with Gene-Expression Connectivity Mapping" @default.
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- W4385575013 doi "https://doi.org/10.1109/ipdpsw59300.2023.00057" @default.
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