Towards High-Level Programming of Multi-GPU Systems Using the SkelCL Library
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx5/6269389/6270391/06270864.pdf?arnumber=6270864
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Improved data transfer efficiency for scale‐out heterogeneous workloads using on‐the‐fly I/O link compression;Concurrency and Computation: Practice and Experience;2020-12
2. Memory access patterns;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2015-11-15
3. Converting data-parallelism to task-parallelism by rewrites: purely functional programs across multiple GPUs;Proceedings of the 4th ACM SIGPLAN Workshop on Functional High-Performance Computing;2015-08-30
4. Parallel patterns for heterogeneous CPU/GPU architectures: Structured parallelism from cluster to cloud;Future Generation Computer Systems;2014-07
5. On the support of task-parallel algorithmic skeletons for multi-GPU computing;Proceedings of the 29th Annual ACM Symposium on Applied Computing;2014-03-24
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