زمانبندی توزیع‏ شده وظایف در سیستم ‏های سرویس‏ دهی مبتنی بر GPU بر حسب تقاضا

[1] Peddie, Jon. "What is a GPU?" In The History of the GPU-Steps to Invention, pp. 333-345. Cham: Springer International Publishing, 2023.

[2] Buber, Ebubekir, and D. I. R. I. Banu. "Performance analysis and CPU vs GPU comparison for deep learning." In 2018 6th International Conference on Control Engineering & Information Technology (CEIT), pp. 1-6. IEEE, 2018.

[3] Keckler, Stephen W., William J. Dally, Brucek Khailany, Michael Garland, and David Glasco. "GPUs and the future of parallel computing." IEEE micro 31, no. 5, pp. 7-17, 2011.

[4] Arunarani, A. R., Dhanabalachandran Manjula, and Vijayan Sugumaran. "Task scheduling techniques in cloud computing: A literature survey." Future Generation Computer Systems 91, pp. 407-415, 2019.

[5] Filippini, Federica, Marco Lattuada, Arezoo Jahani, Michele Ciavotta, Danilo Ardagna, and Edoardo Amaldi. "Hierarchical Scheduling in on-demand GPU-as-a-Service Systems." In 2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), pp. 125-132. IEEE, 2020.

[6] Wu and B. Hong, "Collocating cpu-only jobs with gpuassisted jobs on gpu-assisted hpc," in CCGrid, 2013 13th IEEE/ACM International Symposium on, pp. 418–425, IEEE, 2013.

[7] Kayiran, N. C. Nachiappan, A. Jog, R. Ausavarungnirun, M. T. Kandemir, G. H. Loh, O. Mutlu, and C. R. Das, "Managing gpu concurrency in heterogeneous architectures," in Microarchitecture, 47th Annual IEEE/ACM International Symposium on, pp. 114–126, IEEE, 2014.

[8] Reano, F. Silla, D. S. Nikolopoulos, and B. Varghese, "Intranode memory safe gpu co-scheduling," IEEE Transactions on Parallel and Distributed Systems, vol. 29, no. 5, pp. 1089–1102, 2018.

[9] Kato, K. Lakshmanan, R. Rajkumar, and Y. Ishikawa, "Timegraph: Gpu scheduling for real-time multi-tasking environments," in Proc. USENIX ATC, pp. 17–30, 2011.

[10] Kang, W. Joo, S. Lee, and D. Shin, "Priority-driven spatial resource sharing scheduling for embedded graphics processing units," Journal of Systems Architecture, vol. 76, pp. 17–27, 2017.

[11] -M. Oprescu and T. Kielmann, "Bag-of-tasks scheduling under budget constraints," in 2010 IEEE Second International Conference on Cloud Computing Technology and Science, pp. 351–359, IEEE, 2010.

[12] Cai, X. Li, R. Ruiz, and Q. Li, "A delay-based dynamic scheduling algorithm for bag-of-task workflows with stochastic task execution times in clouds," Future Generation Computer Systems, vol. 71, pp. 57–72, 2017.

[13] Åsberg, Mikael, Thomas Nolte, Shinpei Kato, and Ragunathan Rajkumar. "Exsched: An external cpu scheduler framework for real-time systems." In 2012 IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, pp. 240-249. IEEE, 2012.

[14] Ukidave, Yash, Xiangyu Li, and David Kaeli. "Mystic: Predictive scheduling for gpu based cloud servers using machine learning." In 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 353-362. IEEE, 2016.

[15] Jahani, Arezoo, Marco Lattuada, Michele Ciavotta, Danilo Ardagna, Edoardo Amaldi, and Li Zhang. "Optimizing on-demand gpus in the cloud for deep learning applications training." In 2019 4th International Conference on Computing, Communications and Security (ICCCS), 1-8. IEEE, 2019.

[16] Lattuada, Marco, Eugenio Gianniti, Danilo Ardagna, and Li Zhang. "Performance prediction of deep learning applications training in GPU as a service systems." Cluster Computing, 1-24, 2022.