Parallel multiprocessing and scheduling on the heterogeneous Xeon+FPGA platform

A. Rodríguez, A. Navarro, R. Asenjo, F. Corbera, R. Gran, D. Suárez, J. Nunez-Yanez, The Journal of Supercomputing (2019).

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Journal Article | Published | English
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Heterogeneous computing that exploits simultaneous co-processing with different device types has been shown to be effective at both increasing performance and reducing energy consumption. In this paper, we extend a scheduling framework encapsulated in a high-level C++ template and previously developed for heterogeneous chips comprising CPU and GPU cores, to new high-performance platforms for the data center, which include a cache coherent FPGA fabric and many-core CPU resources. Our goal is to evaluate the suitability of our framework with these new FPGA-based platforms, identifying performance benefits and limitations.We target the state-of-the-art HARP processor that includes 14 high-end Xeon classes tightly coupled to a FPGA device located in the same package. We select eight benchmarks from the high-performance computing domain that have been ported and optimized for this heterogeneous platform. The results show that a dynamic and adaptive scheduler that exploits simultaneous processing among the devices can improve performance up to a factor of 8 × compared to the best alternative solutions that only use the CPU cores or the FPGA fabric. Moreover, our proposal achieves up to 15% and 37% of improvement compared to the best heterogeneous solutions found with a dynamic and static schedulers, respectively.
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The Journal of Supercomputing
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Rodríguez A, Navarro A, Asenjo R, et al. Parallel multiprocessing and scheduling on the heterogeneous Xeon+FPGA platform. The Journal of Supercomputing. 2019. doi:10.1007/s11227-019-02935-1
Rodríguez, A., Navarro, A., Asenjo, R., Corbera, F., Gran, R., Suárez, D., & Nunez-Yanez, J. (2019). Parallel multiprocessing and scheduling on the heterogeneous Xeon+FPGA platform. The Journal of Supercomputing. https://doi.org/10.1007/s11227-019-02935-1
@article{Rodríguez_Navarro_Asenjo_Corbera_Gran_Suárez_Nunez-Yanez_2019, title={Parallel multiprocessing and scheduling on the heterogeneous Xeon+FPGA platform}, DOI={10.1007/s11227-019-02935-1}, journal={The Journal of Supercomputing}, author={Rodríguez, Andrés and Navarro, Angeles and Asenjo, Rafael and Corbera, Francisco and Gran, Rubén and Suárez, Darío and Nunez-Yanez, Jose}, year={2019} }
Rodríguez, Andrés, Angeles Navarro, Rafael Asenjo, Francisco Corbera, Rubén Gran, Darío Suárez, and Jose Nunez-Yanez. “Parallel Multiprocessing and Scheduling on the Heterogeneous Xeon+FPGA Platform.” The Journal of Supercomputing, 2019. https://doi.org/10.1007/s11227-019-02935-1.
A. Rodríguez et al., “Parallel multiprocessing and scheduling on the heterogeneous Xeon+FPGA platform,” The Journal of Supercomputing, 2019.
Rodríguez, Andrés, et al. “Parallel Multiprocessing and Scheduling on the Heterogeneous Xeon+FPGA Platform.” The Journal of Supercomputing, 2019, doi:10.1007/s11227-019-02935-1.

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