GraphCL: A Framework for Execution of Data-Flow Graphs on Multi-Device Platforms-Reference-Cited by-同舟云学术

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GraphCL: A Framework for Execution of Data-Flow Graphs on Multi-Device Platforms

Published:2022-03 Issue: Volume: Page:
ISSN:
Container-title:2022 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)
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Author:

Moren Konrad¹,Gohringer Diana²

Affiliation:

1. Fraunhofer IOSB,Department Object Recognition,Ettlingen,Germany

2. TU Dresden,Chair of Adaptive Dynamic Systems,Dresden,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9756662/9756614/09756723.pdf?arnumber=9756723

Reference27 articles.

1. EngineCL: Usability and Performance in Heterogeneous Computing

2. Automatic OpenCL Task Adaptation for Heterogeneous Architectures

3. Automatic Command Queue Scheduling for Task-Parallel Workloads in OpenCL

4. Orchestrating Multiple Data-Parallel Kernels on Multiple Devices

5. Nvidia cuda graph,0

Cited by 1 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. Mashing load balancing algorithm to boost hybrid kernels in molecular dynamics simulations;The Journal of Supercomputing;2022-07-21

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