The Unicorn Runtime: Efficient Distributed Shared Memory Programming for Hybrid CPU-GPU Clusters-Reference-Cited by-同舟云学术

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The Unicorn Runtime: Efficient Distributed Shared Memory Programming for Hybrid CPU-GPU Clusters

Published:2017-05-01 Issue:5 Volume:28 Page:1518-1534
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Beri Tarun,Bansal Sorav,Kumar Subodh

Funder

Ministry of Earth Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/7894348/07588161.pdf?arnumber=7588161

Cited by 11 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. DELTA: Memory-Efficient Training via Dynamic Fine-Grained Recomputation and Swapping;ACM Transactions on Architecture and Code Optimization;2024-08-20

2. Hardware support for balanced co-execution in heterogeneous processors;Proceedings of the 21st ACM International Conference on Computing Frontiers;2024-05-07

3. Toward runtime support for unstructured and dynamic exascale-era applications;The Journal of Supercomputing;2023-01-10

4. Concurrent CPU-GPU Task Programming using Modern C++;2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2022-05

5. Data Management Model to Program Irregular Compute Kernels on FPGA: Application to Heterogeneous Distributed System;Euro-Par 2021: Parallel Processing Workshops;2022

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