休战 发表于 2025-3-23 13:08:28
https://doi.org/10.1007/978-3-031-15922-0compiler; computer systems; distributed computer systems; distributed systems; embedded systems; Field Pr摆动 发表于 2025-3-23 15:24:41
978-3-031-15921-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature SwitzerlStress 发表于 2025-3-23 18:31:44
http://reply.papertrans.cn/71/7020/701920/701920_13.png博爱家 发表于 2025-3-23 23:51:24
Enhancing MPI+OpenMP Task Based Applications for Heterogeneous Architectures with GPU Supportprogramming models are a promising way to tackle this challenge. Since OpenMP 4.0 and 4.5, the . directives enable to offload pieces of code to GPUs and to express it as tasks with dependencies. Therefore, heterogeneous machines can be programmed using MPI+OpenMP(task+target) to exhibit a very highMusket 发表于 2025-3-24 02:46:43
Towards Efficient Remote OpenMP OffloadingCUDA/etc.), as it has been proven to perform well with various scientific applications. However, application developers prefer to use a single coherent programming model over a hybrid model, as maintainability and portability decrease per additional model. Recent work [.] has shown that the OpenMP dcinder 发表于 2025-3-24 08:18:06
http://reply.papertrans.cn/71/7020/701920/701920_16.pnggregarious 发表于 2025-3-24 13:10:18
Using Off-the-Shelf Hardware Transactional Memory to Implement Speculative While in OpenMProposed . construct and the . clause. With SWh, the speculative tasks are generated by the OpenMP . construct in . loops (from linear algebra or goal finding algorithms) where control dependencies between iterations can be speculated. This paper also presents a detailed analysis of the application oIrksome 发表于 2025-3-24 18:41:25
http://reply.papertrans.cn/71/7020/701920/701920_18.pngOriginal 发表于 2025-3-24 22:34:46
Feasibility Studies in Multi-GPU Target Offloadingte node. While many APIs for GPU programming are vendor-specific, OpenMP offers a portable alternative. Therefore OpenMP target offloading is advantageous in terms of long-term code sustainability. Further, many applications have already been parallelized with OpenMP. Hence the amount of work neededdeactivate 发表于 2025-3-25 01:00:04
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