QoS Aware Design-Time/Run-Time Manager for FPGA-Based Embedded Systems
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-12748-9_8
Reference16 articles.
1. Nurvitadhi, E., et al.: Can FPGAs beat GPUs in accelerating next-generation deep neural networks? In: FPGA (2017)
2. Gueye, S.M.K., Rutten, E., Diguet, J.P.: Autonomic management of missions and reconfigurations in FPGA-based embedded system. In: Conference on Adaptive Hardware and Systems (2017)
3. Roy, S.K., Devaraj, R., Sarkar, A., Senapati, D.: SLAQA: quality-level aware scheduling of task graphs on heterogeneous distributed systems. ACM Trans. Embed. Comput. Syst. 20, 1–31 (2021)
4. Iguider, A., Bousselam, K., Elissati, O., Chami, M., En-Nouaary, A.: Heuristic algorithms for multi-criteria hardware/software partitioning in embedded systems codesign. Comput. Electric. Eng. 84, 106610 (2020)
5. Sun, Z., Zhang, H., Zhang, Z.: Resource-aware task scheduling and placement in multi-FPGA system. IEEE Access 7, 163851–163863 (2019)
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