On the support of task-parallel algorithmic skeletons for multi-GPU computing

Author:

Alexandre Fernando1,Marques Ricardo1,Paulino Hervé1

Affiliation:

1. Universidade Nova de Lisboa, Caparica, Portugal

Funder

Fundação para a Ciência e a Tecnologia

Publisher

ACM

Reference12 articles.

1. AMD Corporation. Bolt C++ Template Library. http://developer.amd.com/tools/heterogeneous-computing/ last visited in June 2013. AMD Corporation. Bolt C++ Template Library. http://developer.amd.com/tools/heterogeneous-computing/ last visited in June 2013.

2. StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures

3. Bringing skeletons out of the closet: a pragmatic manifesto for skeletal parallel programming

4. The Scalable Heterogeneous Computing (SHOC) benchmark suite

5. Auto-tuning SkePU

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1. Self-tuning serverless task farming using proactive elasticity control;Cluster Computing;2020-07-23

2. Serverless Skeletons for Elastic Parallel Processing;2019 IEEE 5th International Conference on Big Data Intelligence and Computing (DATACOM);2019-11-18

3. Enabling efficient use of algorithmic skeletons in cloud environments;Proceedings of the Symposium on Applied Computing;2017-04-03

4. Simultaneous CPU–GPU Execution of Data Parallel Algorithmic Skeletons;International Journal of Parallel Programming;2017-01-04

5. Execution of compound multi-kernel OpenCL computations in multi-CPU/multi-GPU environments;Concurrency and Computation: Practice and Experience;2015-08-28

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