Understanding SYCL Portability for Pseudorandom Number Generation: a Case Study with Gene-Expression Connectivity Mapping

Jin, Zheming; Vetter, Jeffrey

doi:10.1109/IPDPSW59300.2023.00057

Understanding SYCL Portability for Pseudorandom Number Generation: a Case Study with Gene-Expression Connectivity Mapping

Conference · Mon May 01 04:00:00 EDT 2023

DOI:https://doi.org/10.1109/IPDPSW59300.2023.00057· OSTI ID:1996688

Jin, Zheming ^[1]; ^[1]

ORNL

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.

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE; USDOE Office of Science (SC)

DOE Contract Number:: AC05-00OR22725

OSTI ID:: 1996688

Country of Publication:: United States

Language:: English

References (11)

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