Proceedings of the 2023 International Workshop on OpenCL最新文献

{"title":"Profile Guided Optimization Transfer-Learning for OpenCL/SYCL Kernel Compilation and Runtime","authors":"Wenju He, Maosu Zhao, Yuxin Zou, Feng Zou","doi":"10.1145/3585341.3585359","DOIUrl":"https://doi.org/10.1145/3585341.3585359","url":null,"abstract":"Reducing SYCL kernel compilation time and overhead of runtime are important topics for heterogeneous computing performance. Profile-Guided Optimization (PGO) is an optimization technique widely used in compiler to better optimize code. We apply PGO to both SYCL kernel compilation and backend runtime. The first experiment demonstrates transfer-learning that profiling data collected from SPEC CPU® 2006 benchmark can benefit kernel compilation on OpenCL/SYCL benchmarks. The second experiment also demonstrates transfer-learning that profiling data collected from some OpenCL/SYCL benchmarks could be used to reduce CPU backend runtime overhead in unseen benchmarks.","PeriodicalId":360830,"journal":{"name":"Proceedings of the 2023 International Workshop on OpenCL","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123328907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL","authors":"Gregor Daiß, Patrick Diehl, H. Kaiser, D. Pflüger","doi":"10.1145/3585341.3585354","DOIUrl":"https://doi.org/10.1145/3585341.3585354","url":null,"abstract":"Ranging from NVIDIA GPUs to AMD GPUs and Intel GPUs: Given the heterogeneity of available accelerator cards within current supercomputers, portability is a key aspect for modern HPC applications. In Octo-Tiger, an astrophysics application simulating binary star systems and stellar mergers, we rely on Kokkos and its various execution spaces for portable compute kernels. In turn, we use HPX, a distributed task-based runtime system, to coordinate kernel launches, CPU tasks, and communication. This combination allows us to have a fine interleaving between portable CPU/GPU computations and communication, enabling scalability on various supercomputers. However, for HPX and Kokkos to work together optimally, we need to be able to treat Kokkos kernels as HPX tasks. Otherwise, instead of integrating asynchronous Kokkos kernel launches into HPX’s task graph, we would have to actively wait for them with fence commands, which wastes CPU time better spent otherwise. Using an integration layer called HPX-Kokkos, treating Kokkos kernels as tasks already works for some Kokkos execution spaces (like the CUDA one), but not for others (like the SYCL one). In this work, we started making Octo-Tiger and HPX itself compatible with SYCL. To do so, we introduce numerous software changes most notably an HPX-SYCL integration. This integration allows us to treat SYCL events as HPX tasks, which in turn allows us to better integrate Kokkos by extending the support of HPX-Kokkos to also fully support Kokkos’ SYCL execution space. We show two ways to implement this HPX-SYCL integration and test them using Octo-Tiger and its Kokkos kernels, on both an NVIDIA A100 and an AMD MI100. We find modest, yet noticeable, speedups (1.11x to 1.15x for the relevant configurations) by enabling this integration, even when just running simple single-node scenarios with Octo-Tiger where communication and CPU utilization are not yet an issue. We further find that the integration using event polling within the HPX scheduler works far better than the alternative implementation using SYCL host tasks.","PeriodicalId":360830,"journal":{"name":"Proceedings of the 2023 International Workshop on OpenCL","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115359508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proceedings of the 2023 International Workshop on OpenCL","authors":"","doi":"10.1145/3585341","DOIUrl":"https://doi.org/10.1145/3585341","url":null,"abstract":"","PeriodicalId":360830,"journal":{"name":"Proceedings of the 2023 International Workshop on OpenCL","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132802411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}